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- TView description๐ San Francisco, Californiaโ Posted 1 days ago๐ San Francisco, Californiaโ Posted yesterday
About the Role
Join a small, senior engineering team building the machine learning foundation for consumer software products. You will shape data pipelines, models, retrieval systems, and inference infrastructure that make AI-powered experiences useful and intuitive for everyday users.
What You'll Do
Architect and build machine learning and retrieval systems for core product experiences.
Design data pipelines that ingest, classify, enrich, and summarize large volumes of user data.
Build scalable infrastructure for real-time and batch inference.
Guide model selection, fine-tuning, embeddings, retrieval-augmented generation, and evaluation frameworks.
Prototype product ideas and turn successful experiments into reliable systems.
Partner with product, design, and engineering to deliver polished user-facing features.
Establish strong practices for system quality, measurement, and failure analysis.
What We're Looking For
At least 5 years of software or machine learning engineering experience, with a background in consumer AI or machine learning systems.
Experience shipping machine learning features to real users, such as personalization, ranking, search, or recommendations.
Experience developing custom models, including embeddings, recommendation, or personalization models, beyond prompt-based integrations alone.
Strong experience with applied machine learning, LLMs, retrieval, classification, NLP, or related product systems.
Familiarity with Python, FastAPI, PostgreSQL, vector databases, and embeddings.
Experience with data pipelines, training and evaluation workflows, inference infrastructure, and end-to-end product development.
A degree in computer science, mathematics, electrical engineering, or a related field, or comparable technical background.
Comfort working in an early-stage or entrepreneurial environment and collaborating across product and design.
Compensation & Benefits
Base salary: $200,000 to $300,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.
- TView description๐ San Francisco, Californiaโ Posted 1 days ago๐ San Francisco, Californiaโ Posted yesterday
About the Role
Join an early-stage team building applied AI products for a staffing marketplace serving industrial and operations-focused businesses. You will connect AI agents to core product workflows and help shape the backend platform, agent architecture, and systems that power matching, vetting, and workforce operations.
What You'll Do
Apply frontier models and existing agents to automate sourcing, vetting, matching, and worker placement workflows.
Build and evolve agent harnesses, evaluations, orchestration patterns, and model integrations.
Architect core backend services and platform systems, including matching and autonomous vetting pipelines.
Improve system performance, reliability, and scalability across APIs, data models, and distributed services.
Make architectural decisions with a long-term view while adapting priorities to emerging product and infrastructure needs.
Work across teams and with customers to translate operational problems into practical, production-ready systems.
What We're Looking For
Typically 5 or more years of software engineering experience for Senior roles, or 7 or more years for Staff roles, including end-to-end product ownership in early-stage teams.
Hands-on experience shipping products at a fast-growing startup, with a record of delivering at high velocity amid ambiguity and cross-functional challenges.
Strong Python and/or TypeScript/Node.js skills, plus experience designing distributed systems, APIs, and data models. PostgreSQL and messaging systems such as Kafka or RabbitMQ are relevant.
Experience building and operating production AI agent systems, including decisions about prompting, retrieval, fine-tuning, code, orchestration, and evaluation.
Strong product judgment and experience with applied AI, marketplaces, matching or recommendation systems, or operational workflows.
Comfort using coding agents in day-to-day development and turning ambiguous problems into working prototypes.
Strong technical fundamentals and a history of sustained roles rather than frequent short stints.
Compensation & Benefits
Base salary: $200,000 to $300,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California.
- TView description๐ San Francisco, Californiaโ Posted 1 days ago๐ San Francisco, Californiaโ Posted yesterday
About the Role
Join a team building the infrastructure behind a web data extraction platform for AI applications. You will own production systems that keep extraction fast and reliable against websites using sophisticated automated-access defenses.
What You'll Do
Architect and operate proxy rotation, IP and session management, and isolated egress infrastructure at scale.
Improve extraction success rates against websites that actively block automated access.
Build and maintain browser and TLS fingerprint management, CAPTCHA handling, and challenge-solving systems.
Monitor proxy-layer reliability and cost efficiency, and manage its operating economics.
Diagnose intermittent failures across the stack, implement durable fixes, and support systems in production.
What We're Looking For
More than 3 years of experience in adversarial web infrastructure, proxy-layer engineering, or web data extraction, with recent hands-on work in this area.
Production experience architecting proxy rotation, IP and session management, egress isolation, and proxy economics for third-party web extraction.
Experience bypassing major anti-bot defenses, such as Akamai, DataDome, Cloudflare, or Kasada, and owning extraction success-rate metrics.
Production experience with browser and TLS fingerprinting, CAPTCHA or challenge handling, and high-volume extraction against adversarial defenses.
Proficiency in Go and/or Python, plus strong networking fundamentals including TCP/IP, HTTP/2, connection pooling, and proxy orchestration.
Experience owning production systems end to end, including on-call, observability, and tools such as Prometheus and Grafana.
Compensation & Benefits
Base salary: $235,000 to $260,000 USD annually. Visa sponsorship is available.
Location
Hybrid role based in San Francisco, California, United States.
- TView description๐ New York, New Yorkโ Posted 2 days ago๐ New York, New Yorkโ Posted 2d ago
About the Role
Join an early-stage B2B SaaS team as its founding AI engineer, building the core of a real-time voice agent that conducts sales conversations, demonstrates products in a browser, and follows up with prospects. You will lead the agent's technical direction and help shape its next capabilities.
What You'll Do
Build the agent's reasoning, tool use, memory, and ability to recover when live conversations go off script while meeting strict latency requirements.
Develop evaluation pipelines and use real sales-call data to drive measurable improvements, including fine-tuning where useful.
Improve the reliability of browser-based product demonstrations conducted during live calls.
Ship end-to-end product work using TypeScript, Node.js, and Next.js.
Work directly with customers and design partners to shape the product and guide decisions about models, architecture, and build-versus-buy tradeoffs.
What We're Looking For
Four to seven years of experience as an AI engineer, including at least one year working with real-time or voice AI systems.
Experience shipping AI agents to production and owning the workflow, including evaluations, observability, and cost optimization.
Hands-on experience with voice AI, real-time applications, browser automation, or AI sales products.
Proficiency in TypeScript, Node.js, and Next.js; familiarity with WebRTC, LiveKit, Playwright, LLM APIs, and agent evaluation methods is relevant.
A CS degree or another technical background, such as mathematics, physics, or engineering.
Customer-facing engineering, design partner collaboration, sales technology, or startup experience is valuable.
Compensation & Benefits
Base salary: $200,000 to $250,000 annually. Visa sponsorship is available.
Location
On-site in New York, New York, United States. Candidates must be based in New York or able to relocate from day one.
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- CView description๐ Remote๐ San Francisco, Californiaโ Posted 2 days ago๐ Remote๐ San Francisco, Californiaโ Posted 2d ago
About the Role
As the first senior AI hire at an early-stage AI marketing company, you will own the quality and intelligence of its multi-channel marketing agents. You will shape the agent architecture, evaluation systems, and learning loops, while helping build the AI team.
What You'll Do
Improve agent output and content quality across social platforms and article writing, using evaluation systems to measure results.
Improve search engine optimization and generative engine optimization performance.
Build feedback loops that help agents learn from real-world results and performance signals.
Improve production AI infrastructure, agent architecture, model strategy, and supporting data pipelines.
Help hire and lead the AI team as it grows.
What We're Looking For
At least 3 years building production machine learning or AI systems, with recent hands-on experience shipping LLM products or agents.
Experience designing evaluations and using outcome signals at scale in search, ranking, recommendations, or related domains.
Strong TypeScript, including Next.js, and Python skills for data analysis, evaluations, and model work, with a track record of shipping end to end.
Production experience in applied AI, such as LLM reasoning or post-training, generative AI, agentic systems, search, recommendation systems, algorithms, or machine learning research.
Experience building feedback loops and improving AI infrastructure, agent architecture, or model strategy in production.
Experience owning and shipping work in a startup or small team, plus strong research or applied AI achievements.
Search, ranking, or AI answer engine experience is valuable. Marketing or go-to-market experience is a plus; recommendation systems, algorithms, and reinforcement learning are also relevant backgrounds.
Compensation & Benefits
Annual base compensation is $180,000 to $230,000 USD. Visa sponsorship is available.
Location
On-site in San Francisco, California. Candidates must be based in or willing to relocate to San Francisco.
- TView description๐ New York, New Yorkโ Posted 2 days ago๐ New York, New Yorkโ Posted 2d ago
About the Role
Join an applied AI team building systems that embed intelligence into company workflows. You will help develop agent-driven tools and infrastructure that can take on complex work end to end, shaping how people and AI systems collaborate.
What You'll Do
Build and ship full-stack products and AI agents that address real operational workflows.
Develop infrastructure, interfaces, and operating models for humans and agents to work together.
Work directly with internal teams and users to understand their needs, gather feedback, and improve solutions.
Take ownership of projects from problem definition through launch and ongoing performance.
Explore model capabilities and agent tools to improve workflows and automate more complex tasks.
What We're Looking For
Five to fifteen years of experience building products from zero to one as a full-stack engineer.
Experience at a venture-funded startup, ideally as a founder, founding engineer, or engineer in a fast-paced growth environment.
Strong product sense and expertise in at least one full-stack programming language; the technical environment includes TypeScript, Python, AI agents, and infrastructure.
Hands-on experience with agent SDKs and LLM tools beyond basic chatbots, with informed views on choosing models for different use cases.
Ability to work autonomously through ambiguity, reason from first principles, and take responsibility for outcomes.
Experience working closely with users and teams to gather feedback and iterate on products.
A track record of sustained tenure and career progression is valued.
Compensation & Benefits
Base salary: $150,000 to $300,000 annually. Visa sponsorship is available.
Location
On-site in New York, New York.
- TView description๐ San Francisco, Californiaโ Posted 3 days ago๐ San Francisco, Californiaโ Posted 3d ago
About the Role
Join a small product engineering team building AI-powered tools for production scheduling, quoting, and commercial workflows in manufacturing. You will help deliver end-to-end features that bring reliable AI automation to complex business processes.
What You'll Do
Build and ship AI agents for quoting, pricing, and cross-sell workflows.
Develop product features across the frontend and backend using TypeScript, Next.js, and React.
Integrate with enterprise systems such as ERP platforms.
Address GDPR-compliant deployments and data residency needs for European customers.
What We're Looking For
Three to eight years of full-stack product engineering experience, including at least three years building and shipping production features.
Experience building or integrating AI systems in a startup environment.
Hands-on experience operating LLM agents in production, including orchestration, evaluation, and reliability, using an agent framework such as LangGraph, Mastra, or an agents SDK.
Proficiency with TypeScript, React, and Next.js.
A curious, product-minded approach and interest in keeping up with evolving AI tools and techniques.
Compensation & Benefits
Base salary: $180,000 to $250,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.
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- TView description๐ San Francisco, Californiaโ Posted 3 days ago๐ San Francisco, Californiaโ Posted 3d ago
About the Role
Join the product engineering team at a Series A industrial staffing and AI platform company. You will bring AI agents into real-world marketplace workflows and build the backend systems and platform that support staffing, worker matching, and operational automation.
What You'll Do
Define how AI agents are applied across product workflows, including sourcing, vetting, matching, and placement.
Design and lead core systems, including real-time matching and automated vetting pipelines.
Build and maintain scalable backend services and platform architecture for evolving product needs.
Improve system performance, reliability, and capacity while making pragmatic infrastructure decisions.
Partner with technical and cross-functional teams to turn ambiguous problems into production-ready solutions.
Contribute to agent harnesses, evaluation systems, orchestration patterns, and model strategy as needed.
What We're Looking For
Typically 5 or more years of software engineering experience for Senior roles, or 7 or more years for Staff roles, with end-to-end product ownership.
Hands-on experience building products at fast-growing startups, including taking projects from early prototypes to production at scale.
Strong Python and/or TypeScript/Node.js skills, with experience designing APIs, distributed systems, and data models.
Experience with PostgreSQL and messaging or streaming systems such as Kafka or RabbitMQ.
Experience shipping applied AI or agentic products, and familiarity with coding agents and rapid prototyping.
Strong product judgment, comfort with ambiguity, and an ability to work across teams and with operational users.
Relevant experience in AI, marketplaces, matching or recommendation systems, staffing, recruiting, or operational platforms is valuable.
Strong computer science fundamentals and a record of sustained contributions in engineering roles.
Compensation & Benefits
Base salary: $200,000 to $300,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California.
- PView description๐ Office - USA - CA -…โ Posted 3 days ago๐ Office - USA - CA - Headquarters, Californiaโ Posted 3d ago
Our Mission
At Palo Alto Networksยฎ, weโre united by a shared missionโto protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If youโre ready to do the most meaningful work of your career alongside people who are just as passionate as you are, youโre in the right place.
Who We Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. Thatโs why most of our teams work from the office full time, with flexibility when itโs needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.Job Summary
Must-Have Skills, Experience, or Qualifications
- Strong programming and scripting skills (Golang, Python, etc).
- Solid understanding of infrastructure and cloud environments (experience with k8s infra context and GCP preferred, AWS experience acceptable).
- Hands-on experience developing and operating cloud-based services.
- Demonstrated willingness and ability to leverage AI tools and agents to improve productivity across research, design, implementation, and operational support activities.
- Experience with observability frameworks and operational monitoring for cloud-native services (metrics, logging, tracing, and alerting).
Product / Technology Stack Overview:
- The team develops highly scalable cloud applications using Golang in a GCP environment.
- The role involves working across the full software development lifecycle, including system design, implementation, deployment, and operational support for distributed cloud services.
Desired Soft Skills
- Strong communication skills, with the ability to clearly articulate both high-level system architecture and detailed technical design.
- Strong analytical thinking with close attention to implementation details.
- Ability to collaborate effectively with cross-functional teams.
Qualifications
Nice-to-Have Skills or Experience
- Security Domain Knowledge: Familiarity with security best practices, risk assessment, and common threat models.ย
- Networking domain experience and understanding of various network topologies spanning between cloud and on-prem.ย
- Security Policy & Profiles: Understanding of security policies, access control models, and configuration profiles across operating systems, cloud environments, and enterprise applications.
How Success Is Measured in This Role
- Consistent delivery of high-quality features within planned timelines.
- Effective collaboration and influence across Product Line Management (PLM) and QA teams.
- Ability to manage multiple concurrent tasks within a fast-paced development environment with ongoing CI/CD release cadence.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
$156,400.00 - $253,000.00/yrOur Commitment
Weโre trailblazers that dream big, take risks, and challenge cybersecurityโs status quo. Itโs simple: we canโt accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at ย [email protected].
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship?: Yesย
ย
- TView description๐ San Francisco, Californiaโ Posted 3 days ago๐ San Francisco, Californiaโ Posted 3d ago
About the Role
Join the product team at a Series A/B industrial technology company building staffing marketplace tools and applied AI products. You will shape core workflows for industrial customers and workers, and help develop agentic systems that automate supply chain operations.
What You'll Do
Own product strategy across staffing, marketplace, and AI agent workflows.
Balance customer needs, operational realities, business outcomes, technical constraints, and evolving AI capabilities.
Write detailed product requirements and work closely with engineering and machine learning teams to deliver products.
Build systems that improve marketplace liquidity, fulfilment, matching quality, and operational efficiency.
Prototype and validate ideas with customers and design partners.
Design agents that reason through workflows, orchestrate tools, maintain context, and execute work.
Define agent behavior, evaluation systems, and quality frameworks to improve reliability and performance.
Use data to identify patterns, answer product questions, and scale internal operations.
Launch and iterate products across customers, regions, and operational environments.
What We're Looking For
Three to ten years of product management experience owning complex products at fast-growing startups.
A record of shipping products at scale and delivering measurable business results in high-velocity, ambiguous environments.
Strong technical skills, including writing SQL queries, and fluency using AI tools such as Claude in day-to-day workflows.
Experience across marketplaces, matching or recommendation systems, multi-sided platforms, recruiting, AI products, or operational software.
Experience building for non-technical users in sectors such as logistics, supply chain, or healthcare is valuable.
Agentic AI product experience is a plus, as are strong computer science fundamentals or a technical degree.
Compensation & Benefits
Base salary: $150,000 to $250,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California.
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- TView description๐ New York, New Yorkโ Posted 4 days ago๐ New York, New Yorkโ Posted 4d ago
About the Role
Join an early-stage team building AI-powered contract intelligence software for enterprise legal workflows. As a senior, hands-on engineer, you will help shape the product and its technical direction, building customer-facing agentic systems from end to end.
What You'll Do
Architect, develop, and own the user-facing application across front-end and back-end systems.
Build and ship production agentic workflows that use tools and orchestration to solve complex contract-related problems.
Collaborate with engineering, product, and design partners to deliver product capabilities.
Drive technical strategy, roadmaps, engineering practices, and measures of team success.
Take ownership of technical projects and contribute to product decisions in a fast-changing environment.
What We're Looking For
At least 8 years of software engineering experience, including 6 or more years building AI products professionally.
Experience at an early-stage SaaS startup and a track record of owning software development end to end in a small team.
Have shipped customer-facing, multi-step agentic products to production, using tool-calling and orchestration frameworks.
Strong proficiency in Python, SQL or Postgres, and JavaScript, React, or a modern front-end framework, with experience across multiple programming languages.
Experience with databases, CI/CD, Git, containers, Kubernetes, and at least one major cloud platform.
A computer science degree and experience across multiple AI domains; LLM evaluation, monitoring, or model training experience is also relevant.
Comfort working through ambiguous, challenging problems and using AI coding tools in day-to-day development.
Compensation & Benefits
Base salary: $175,000 to $300,000 annually. Visa sponsorship is available.
Location
On-site, five days per week in New York, NY.
- TView description๐ San Francisco, Californiaโ Posted 4 days ago๐ San Francisco, Californiaโ Posted 4d ago
About the Role
Join an early-stage AI company building automation for hardware engineering in complex manufacturing environments. As a founding technical team member, you will shape core product systems and work closely with customers to bring reliable AI workflows into production.
What You'll Do
Design and build core workflows and infrastructure for AI agents supporting hardware engineering, including context management, indexing, and post-training systems.
Develop AI agents and machine learning models that interpret and work with complex engineering design data in enterprise toolchains.
Partner with customers and engineers to deliver reliable, intuitive workflows for production use.
Prototype ideas, validate them with users, and ship improvements from concept through deployment.
Help shape early engineering practices, system architecture, and the product roadmap.
What We're Looking For
Two to six years of experience in applied machine learning, backend engineering, or AI infrastructure, or exceptional new graduates with strong fundamentals.
Strong familiarity with LLM architectures and current agent research.
Experience building production machine learning or AI systems, including search and information retrieval.
Strong Python skills and hands-on experience with PyTorch, Hugging Face, and Weights & Biases.
A bachelor's degree or higher in computer science, machine learning, or an equivalent background.
Experience with geometric data or CAD systems is a plus.
A practical builder mindset and care for customer experience.
Compensation & Benefits
Base salary: $180,000 to $250,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California.
- TView description๐ San Francisco, Californiaโ Posted 4 days ago๐ San Francisco, Californiaโ Posted 4d ago
About the Role
Join an engineering team building AI workflow automation for the insurance industry. This hands-on, customer-facing role combines software development with post-sales discovery, turning enterprise brokerage needs into deployed solutions and scalable platform improvements.
What You'll Do
Own customer implementations from requirements gathering through deployment.
Build and ship AI agents and automations, often within a week of scoping a customer need.
Work directly with enterprise customers after the sale to understand workflows and define technical solutions.
Bring successful customer-specific solutions into the core platform.
Partner with product and engineering teams to turn customer insights into reusable features.
What We're Looking For
Three to six years of software engineering experience in forward-deployed, implementation, solutions, or product engineering roles.
Production engineering experience shipping customer-facing features or automations, with a strong balance of coding and customer scoping.
Proficiency in Python and/or TypeScript, with full-stack development experience.
Experience at a venture-backed startup and comfort working in a fast-moving environment.
Strong customer communication, ownership, and ability to switch between discovery conversations and focused coding.
Experience delivering post-sales customer solutions on a rapid timeline.
AI/ML or LLM automation experience in production is a plus, as is familiarity with insurance or financial services.
Compensation & Benefits
Base salary: $180,000 to $300,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California.
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- CView description๐ Houston, TXโ Posted 4 days ago๐ Houston, TXโ Posted 4d agoโถ๏ธ Job Details
ใปJob Title: Sr. System Engineer
ใปWorking Location: Houston, TX
ใปEmployment Type: Full-time
ใปSalary: DOE (100-140K / per year)
ใปBenefit: Full Benefits
ใปVisa Support: Yes
ใปLanguage: English and Japanese
โถ๏ธ Key Responsibilities
IT Infrastructure Consulting
ใปProvide IT infrastructure consulting services for enterprise clients.
ใปSupport infrastructure planning for merger and acquisition (M&A) projects.
ใปAnalyze clients' business requirements and recommend infrastructure solutions.
ใปConduct technology assessments and identify opportunities to improve business efficiency.
ใปPrepare and present technical proposals to customers.
ใปBuild and maintain strong relationships with customers and stakeholders.
Project Management
ใปLead end-to-end IT infrastructure implementation projects.
ใปDefine project scope, timelines, resources, and budgets.
ใปCoordinate internal teams, customers, and vendors throughout project execution.
ใปTrack project progress, manage risks, and provide regular status reports.
ใปLead quality assurance activities and ensure successful project delivery.
ใปManage vendors and external partners.
Projects may include:
ใปMicrosoft Azure cloud migration
ใปSD-WAN / SASE implementation
ใปMicrosoft 365, Entra ID, and Intune deployment
ใปEndpoint Security implementation
ใปPC log management systems
ใปBusiness Continuity (BCP), Disaster Recovery (DR), and backup solutions
ใปWeb server deployment and hosting
ใปEnterprise infrastructure implementation including Active Directory, DNS, DHCP, File Server, Printer Server, Radius Server, and Monitoring Systems
System Engineering & Operations
ใปDesign, implement, maintain, and troubleshoot enterprise infrastructure.
ใปManage Windows Server environments.
ใปSupport Active Directory, DNS, DHCP, File Servers, Printer Servers, Radius Servers, and monitoring systems.
ใปMaintain Microsoft Azure cloud infrastructure.
ใปAdminister Microsoft 365, Entra ID, and Intune environments.
ใปManage Data Center and Colocation services.
ใปMaintain cloud infrastructure (IaaS/PaaS).
ใปImplement and manage security solutions including MFA and EDR/MDR.
ใปPerform system performance assessments and security audits.
ใปSupport ERP platform administration and historical data management.
Leadership
ใปSupport the Division Manager in achieving departmental goals.
ใปLead technical initiatives and mentor engineering team members.
ใปCollaborate with cross-functional teams and external vendors.
ใปCommunicate technical concepts effectively to both technical and non-technical stakeholders.
โถ๏ธ The Right Candidate Will Possess
ใปStrong documentation and reporting skills.
ใปStrong leadership and project management capabilities.
ใปExcellent analytical and problem-solving skills.
ใปCustomer-focused mindset with outstanding communication skills.
ใปAbility to manage multiple projects simultaneously.
ใปAbility to work independently and collaboratively.
ใปHigh attention to detail and strong organizational skills.
โถ๏ธ Required Qualifications & Skills
ใป7-10 years of System Engineering experience.
ใป7-10 years of IT Project Management experience.
ใปExperience designing, implementing, and supporting enterprise infrastructure solutions.
ใปExperience with Microsoft Azure, Microsoft 365, Entra ID, and Intune.
ใปStrong knowledge of Windows Server administration.
ใปExperience with Active Directory, DNS, DHCP, File Server, Printer Server, Radius Server, and enterprise infrastructure.
ใปExperience implementing security solutions including MFA and EDR/MDR.
ใปKnowledge of cloud infrastructure (IaaS/PaaS).
ใปExperience managing vendors and customer-facing projects.
ใปProfessional IT certifications are preferred.
ใปJapanese language skills or a deep understanding of Japanese business culture. - CView description๐ San Francisco, Californiaโ Posted 7 days ago๐ San Francisco, Californiaโ Posted 7d ago
About the Role
Join an early-stage team building agentic software for flexible-work and staffing operations. As the founding engineer for agentic systems, you will own the agent layer end to end and establish how production agents are built, evaluated, and improved.
What You'll Do
Build a context and self-learning system that uses accumulated knowledge to improve agent performance.
Develop self-healing workflows that detect production failures, diagnose their causes, and recover autonomously.
Build and maintain the agent harness and meta-harness for creating, evaluating, and evolving agents quickly.
Set patterns for agent context, tracing, evaluation, and iterative improvement across the product.
Work closely with the technical leadership team, experiment rapidly, and help hire and grow the agent engineering team.
What We're Looking For
Two to nine years of professional software engineering experience and a completed or in-progress engineering, computer science, or quantitative degree from a strong technical university.
Recent experience building agentic software, with a harness-centric approach to context engineering and evaluation-driven iteration.
Experience building context or self-learning systems, agent tracing and evaluations, and autonomous failure detection, diagnosis, or recovery workflows.
A record of shipping working software into production, not research alone, and experience building reusable agent harnesses is valuable.
Strong early-stage startup experience as a funded founder or engineer at a venture-backed pre-seed, seed, or Series A company.
Relevant technologies include TypeScript, Effect-TS, PostgreSQL, and large language model agent systems.
Compensation & Benefits
Base salary: $150,000 to $300,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California. Candidates based elsewhere in the United States may be considered with a concrete relocation plan to San Francisco.
- TView description๐ Remote๐ United Statesโ Posted 9 days ago๐ Remote๐ United Statesโ Posted 9d ago
About the Role
Join a product engineering team building AI-powered tools for data and marketing workflows. You will explore new product ideas, prototype quickly, and develop reliable AI systems that help users get insights and take action using their own data.
What You'll Do
Build proofs of concept to explore how AI can improve data and marketing workflows.
Work with a small team to prototype and ship product ideas, helping establish new product capabilities.
Make architectural and framework choices for AI-powered features and production LLM pipelines.
Evaluate where different models and AI methods are effective within the product.
Develop data agents that answer analytics and data science questions using customer data.
Study user workflows and create seamless AI-assisted experiences.
What We're Looking For
Five to twelve years of software engineering experience building core products, ideally in AI or machine learning contexts.
Strong backend engineering skills and experience applying machine learning in product or engineering work.
Experience with complex AI applications beyond straightforward retrieval-augmented generation.
Product engineering experience in a fast-moving startup or growth-stage environment, with a record of increasing scope.
Strong product intuition, customer focus, clear communication, and structured problem-solving.
Experience building products from inception through iteration, such as as an early engineering hire or founder, is valuable.
Compensation & Benefits
Base salary: $200,000 to $320,000 annually. Visa sponsorship is available.
Location
Remote, United States.
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- CView description๐ Irving, Texasโ Posted 10 days ago๐ Irving, Texasโ Posted 10d ago
Career Area:
Technology, Digital and DataJob Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you'reย joining a global team who cares not just about the work we do โ but also about each other.ย We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don'tย just talk about progress and innovation here โ we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Help Build the Future of Caterpillar โ
At Caterpillar, technology always has a purpose, which is to solve our customersโ toughest challenges. Throughย Cat Technology, we are solving problems by building the intelligence layer that connects machines, data, and people to make jobsites safer, more productive, and more sustainable. By combining deep domain expertise in physical systems with software, connectivity, autonomy, and AI, we deliver solutions that work in the real worldโon real jobsites, at global scale.
Youโll build and deploy against one of the most unique data foundationsโover 1.6 million connected assets generating real-world data daily.ย These data and platform capabilities are enabling the development of AI models, edge computing architectures, and software systems that scale across fleets, products, and industries. The result will be a new generation of machines that continuously learn, improve, and deliver performance at scale.
Be Part of Whatโs Next in Autonomous Construction Sites
Construction autonomy is one of the most complex challenges in applied AI, and at Caterpillar, advancements in physical AI, simulation, sensing, and edge computing are turning things that once felt impossibleโintelligent machines operating in dynamic jobsitesโinto reality.
Our connected ecosystem brings together massive volumes of high-quality data to create a foundation where engineers like you can build and deploy against.
If this work motivates you, we invite you to join our team. In these roles, youโll work at the intersection of the physical and digital worlds. Youโll help design and deliver intelligent systems that enable machines to perceive their environment, make informed decisions, and support safer, more productive operations.
Apply today to build the new era of construction autonomy at Caterpillar.
Job Summary:ย
The Learning Systems Architect owns how the machine learns โ the end-to-end system that turns simulation, digital twins, and fleet data into high-performance, field-proven policies and models.ย
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The Principal Architect โ Reinforcement Learning (RL) Systems is responsible for the architecture of the learning system that produces Caterpillarโs Physical AI models: the reinforcement learning, imitation learning, and foundation-model post-training pipelines that train perception, prediction, planning, and control policies for excavators, dozers, loaders, and haul trucks. Where the Simulation Engine architect owns the runtime the policy trains in, the Digital Twin architect owns the fidelity of what it trains against, and the AI Factory architect owns the compute and data platform it trains on, this role owns the learning problem itself: how tasks are formulated as observations, actions, rewards, and curricula; which policy and model architectures are used; how large-scale closed-loop training in simulation is structured; how sim-to-real transfer is achieved and measured; and how learned policies are evaluated, made safe, and deployed onto machines.ย
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The architect defines the reference architecture for learning-based autonomy at Caterpillar: Gym-style task and environment specifications on top of Isaac Lab / Isaac Sim, Omniverse, and hybrid neural simulation (NVIDIA Cosmos-class world models); massively parallel GPU-based RL (PPO, SAC, GRPO and successors) and imitation learning (behavior cloning, distillation, offline RL) at fleet-data scale; vision-language-action and foundation-model post-training with RL; domain randomization, curriculum, and system-identification strategies for sim-to-real transfer; reward and metric design tied to productivity, safety, machine health, and operator-quality outcomes; and the policy evaluation, regression, and safety-case methodology that gates deployment. The role sets standards for reproducibility, experiment rigor, and benchmark hygiene, and partners with the Experimentation & Operations architect to run training and evaluation at scale.ย
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This role that turns research into repeatable engineering, and is measured by field task performance of deployed policies โ not by simulation benchmarks alone.ย
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What You Will Do:ย
- Developing detailed architecture deliverables to solve business problems.ย
- Designing an application's technical infrastructure, such as specific databases, programming languages, utilities, and testing approaches.ย
- Leading the evaluation and deployment of new technologies to add or enhance existing digital technical capabilities.ย
- Participating in addressing business requirements for applications and collaborating with cross-functional teams to deliver digital solutions that meets business results.ย
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What You Will Have:ย
- Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.ย
- Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.ย
- Platform Architecture: Knowledge of technologies and methods to design processing mechanisms and roadmaps to execute business application systems; ability to design these roadmaps and deploy supportive interfaces for end-users to access related systems, in accordance with standards and processes.ย
- Target Architecture: Knowledge of target architecture; ability to develop the IT blueprint and roadmap while aligning the architecture and processes with business strategies and objectives.ย
- Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.ย
ย
Top Candidates Will Have:ย
- Reinforcement Learning for Physical Systems: Typically 8+ years (or PhD plus 5+) in robot learning with RL taken from algorithm to deployment on real hardware: PPO, SAC, GRPO, model-based / world-model RL, reward shaping, curriculum, and compounding-error handling in closed-loop training.ย
- Imitation Learning and Foundation-Model Post-Training โ Behavior cloning, offline RL (IQL, GAIL), distillation, diffusion policies; vision-language-action or robot foundation models with RL-based post-training (RLHF / DPO / GRPO).ย
- Large-Scale Closed-Loop Training in Simulation โ Architected RL frameworks on GPU-parallel simulators (NVIDIA Isaac Lab / Isaac Sim, MuJoCo, Brax) with Ray, Kubernetes, or Slurm; used neural / hybrid simulation (NVIDIA Cosmos, neural reconstruction) for training or augmentation.ย
- Sim-to-Real Transfer โ Closed sim-to-real gaps via domain randomization, system identification, actuator and latency modeling, and real-to-sim reconstruction, measured by field task success; hydraulic or heavy-machinery dynamics highly valuable.ย
- Policy Evaluation and Safety โ Metrics for learned policies (safety, progress, productivity, comfort), statistically rigorous policy comparison, continuous evaluation and regression, adversarial / long-tail scenario testing, runtime safeguards; safety-case thinking (ISO 26262 / SOTIF / ISO 13849).ย
- Controls and Robotics Foundations โ MPC, impedance control, trajectory optimization; judgment on learned versus classical approaches; perception-to-action pipelines under real-time constraints.ย
- Data Flywheel Literacy โ Shapes demonstration and fleet data collection, auto-labeling, and synthetic data strategy for imitation and offline RL.ย
- Software Engineering โ Strong Python and PyTorch (JAX a plus), working C++ for real-time integration, CUDA familiarity, experiment tracking, Bazel or monorepo tooling, CI/CD.ย
- Architecture Leadership โ Turns research into repeatable engineering; sets reproducibility and benchmark standards; mentors ML engineers and researchers; led a shipped learning-based capability.ย
- Domain Exposure โ Off-highway, construction, or mining autonomy (Bedrock Robotics, Built Robotics, Applied Intuition), or robot learning at NVIDIA (Isaac / GEAR), Waabi, Wayve, Zoox, Figure, 1X, Agility, Boston Dynamics, or Tesla Optimus.ย
- Masterโs or doctoral degree in Computer Science, Robotics, Machine Learning, Controls, or related field preferred; research or publication record a plus.ย
Additional Details:
- This position requires the candidate toย work full-time at the Irving, TX office (Dallas)
- Domestic relocation assistance is available for this position.
- Visa sponsorship is available with this position.
Why Caterpillar
You'll work on some of the most challenging applications of AI in the physical world, helping build systems that transform vast amounts of machine and sensor data into the intelligence that powers autonomous and AI-enabled equipment. If you're excited about applying AI to real-world machines operating in complex environments, we'd like to hear from you.
ย
Summary Pay Range:
$147,760.00 - $240,110.00Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location,ย job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.ย
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
Medical, dental, and vision benefits*
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
401(k) savings plans*
Health Savings Account (HSA)*
Flexible Spending Accounts (FSAs)*
Health Lifestyle Programs*
Employee Assistance Program*
Voluntary Benefits and Employee Discounts*
Career Development*
Incentive bonus*
Disability benefits
Life Insurance
Parental leave
Adoption benefits
Tuition Reimbursement
ย ย ย ย ย ย ย
* These benefits also apply to part-time employees
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This position requires working onsite five days a week.ย
Relocation is available for this position.ย
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Visa sponsorship is available for eligible applicants.ย
ย
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities.ย Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.
- TView description๐ San Francisco, Californiaโ Posted 10 days ago๐ San Francisco, Californiaโ Posted 10d ago
About the Role
Join a small, senior engineering team building the ML foundation for consumer products. You will create data pipelines, models, retrieval systems, and inference infrastructure that power useful, intuitive AI experiences.
What You'll Do
Architect and build machine learning and retrieval systems for core product experiences.
Design data pipelines that ingest, classify, enrich, and summarize user data.
Build scalable inference infrastructure for real-time and batch workloads.
Select and fine-tune models, develop embeddings and RAG pipelines, and establish evaluation frameworks and quality measures.
Prototype AI-powered product ideas, then strengthen successful approaches for production.
Work with product, design, and engineering to turn consumer needs into polished ML features.
Help establish strong ML practices across the team, including attention to system quality and failure modes.
What We're Looking For
At least 5 years of software or machine learning engineering experience in consumer AI or ML systems.
Experience building and shipping ML-powered consumer features from concept to real users, such as personalization, ranking, search, or recommendations.
Strong applied ML experience, including developing custom models such as embedding, recommendation, or personalization models.
Practical experience with LLMs, embeddings, RAG, classification, NLP, ranking, or retrieval systems.
Experience with Python, FastAPI, PostgreSQL, vector databases, and ML data pipelines or inference infrastructure.
A degree in computer science, mathematics, electrical engineering, or a related field.
Product judgment, end-to-end ownership, and comfort working in an early-stage or entrepreneurial environment.
Compensation & Benefits
Base salary: $200,000 to $300,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.
- IView description๐ San Carlos, Californiaโ Posted 10 days ago๐ San Carlos, Californiaโ Posted 10d ago
Creative Technologist (AI Design Engineer)
Also known as: Creative Workflow Specialist ยท AI Workflow Designer
๐จ About OpenArt
OpenArt is a leading AI Creative Platform for visual storytelling, used by millions worldwide. We're building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, images, visuals, characters, and stories with unprecedented speed and imagination. We're bringing those tools together into one agentic creative environment: it understands what you mean, orchestrates the right capabilities, and still leaves you in full control of the work. We believe the future of creativity is AI-native, and we're shaping that future.
๐ฏ About the Role
We're building tools that expand what's creatively possible โ and, increasingly, an agent that does the work: it understands what a creator wants, picks the right models and tools, runs the job, and hands back something they can see, adjust, and finish. For that to hold up in professional production, the agent has to know the work from the inside.
That's where you come in. We need someone who sits between creators and product to turn real pain points in professional workflows into solutions that run and can be proven. If you know professional creative production from the inside and you're used to building your own ideas into interactive prototypes with AI, this might be your seat.
We're not just looking for someone who makes demos. We're looking for someone who finds the problem, researches the workflow, delivers the prototype end to end, makes the case for it, and then hands it to engineering to ship.
๐ Why Join OpenArt
Your prototypes become products. What you build won't stop at a demo. Validated prototypes go straight onto the product roadmap and are taken to launch by engineering.
Work at the frontier of AI and creativity. You'll be among the first to get hands-on with new models and capabilities, and as a practitioner, you'll decide what shape they take inside creators' workflows โ and what the agent should do with them on a creator's behalf.
Direct impact on product direction. Your judgment won't sit in a review queue. From identifying problems to validating prototypes, you'll directly shape what OpenArt builds next.
Hyper-growth and huge market opportunity. OpenArt is one of the largest AI video generation platforms globally, with millions of monthly active users and partnerships with top model players including Google, OpenAI, Anthropic, BytePlus, and Kling.
Define where creative tools go next. Generation gets cheaper every month; what creators and clients pay for is finished work. An agent that does the whole job is where the category is heading, and the person who knows production from the inside is the one who decides what it does.
๐งฉ Requirements
Fluency in professional creative pipelines. Hands-on experience in professional creative production such as advertising, film, or content. You understand every stage from brief to delivery and can pinpoint where the real bottlenecks are.
Moves fluidly between design and engineering. AI is your core tool for building. You're proficient with AI coding tools, model APIs, agent frameworks, and lightweight code, and can independently turn concepts into working prototypes fast.
End-to-end delivery. You can independently take work from problem definition and workflow research through interaction design, visual design, and a usable prototype, delivered to a standard professional users can work with directly.
Strong product taste. You hold a high bar for craft, polish, and interaction quality, and you know the difference between something that works and something that works well.
A body of work that proves it. A portfolio or GitHub showing the tools, prototypes, products, or experiments you've built. We care far more about what you've made than where you've worked.
๐ Nice to Have
Proficiency with professional creative tools. Editing, compositing, motion, or 3D tools. You don't just know how to use them; you know where they fall short on real projects.
Background in advertising, film, or content production. You've felt the pressure of professional production firsthand and know what clients and teams actually need before a deadline.
Experience at a creative lab, innovation agency, or AI product team. You're comfortable moving through ambiguity and turning new technology into something concrete and usable.
You've built with agents. Tool-calling, MCP, skills, or your own automations โ anything where the AI did part of the job for you, and you learned where it should and shouldn't be trusted.
๐ What You'll Do
Identify where workflows break. Embed in the real production work of our in-house creative team and enterprise clients to pinpoint bottlenecks โ and the places where an agent doing the work first would change what a team can ship.
Teach the agent the job. Turn what you learn into workflows the agent can run end to end โ a brief into a set of finished ad variants, one video into ten languages, a winning ad into every placement size โ and define what "done to a professional standard" means for each, so what comes back is usable without a second pass.
Turn complex generative workflows into intuitive experiences. As models and workflows grow more capable and more complex, decide what the agent should simply handle and where a professional needs to step in to see, adjust, and finish โ so creators stay in control of the work instead of waiting on a black box.
Rapidly prototype new concepts. Use AI tools, Figma, lightweight code, and APIs to explore interaction patterns and validate ideas, taking them from early concept to polished interface, including motion, transitions, and micro-interactions.
Define what each prototype needs to prove. Before each prototype, be clear on the hypothesis it's testing. After, assess what was learned and make a clear call: scale, iterate, or stop.
Drive from concept to launch. Work closely with product, model, and engineering teams to turn validated prototypes into shipped features, and build up reusable components and interaction patterns along the way, so the next workflow reaches creators faster.
๐ฐ Compensation
Competitive TC including base salary, bonus, and equity (based on experience).
Meaningful equity ownership in what you build.
๐ Work Setup
San Carlos, CA (full-time, on-site or hybrid)
Visa sponsorship available
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- CView description๐ San Francisco, Californiaโ Posted 10 days ago๐ San Francisco, Californiaโ Posted 10d ago
About the Role
Build the production infrastructure that helps AI agents execute tasks reliably, retain useful context, and involve people when needed. You will work across agent systems, evaluation, and operational workflows, shipping improvements informed by real-world use.
What You'll Do
Build and maintain infrastructure that enables agents to complete tasks reliably across many iterations.
Design memory systems that retain client context from messy operational data over time.
Develop evaluation harnesses that teams can use to make production deployment decisions.
Measure, test, debug, and improve agent systems, including their ability to learn from failures.
Ship agent systems and iterate based on production feedback.
Contribute across infrastructure, orchestration, customer collaboration, and team growth as needed.
What We're Looking For
At least 3 years of experience building and shipping LLM agents that ran unattended in production for real users.
Strong Python skills and hands-on experience building production systems.
Experience implementing memory and context retrieval for real operational data, beyond demo RAG projects.
Experience with agent orchestration, infrastructure, workflow management, and production reliability patterns such as retries and failure recovery.
Built evaluation harnesses for LLM systems that informed production deployment decisions.
Experience building agent tools, frameworks, or libraries, or leading a technical project from conception to production.
Open-source contributions to agent tooling or LLM infrastructure are a plus.
Compensation & Benefits
Base salary is $150,000 to $250,000 USD annually, with meaningful early equity. Visa sponsorship and relocation support are available.
Location
On-site in San Francisco, United States.
- FView description๐ Mountain View, Californiaโ Posted 13 days ago๐ Mountain View, Californiaโ Posted 13d ago
About the Role
Join the platform engineering team at a Series A AI infrastructure company, building and operating cloud systems that power consumer-facing AI products. You will take end-to-end ownership of reliable, secure infrastructure and help engineering teams ship and operate services effectively.
What You'll Do
Design, deploy, and maintain reliable, high-performance cloud infrastructure for AI services.
Own CI/CD pipelines and infrastructure deployments using Terraform, ArgoCD, GitHub Actions, and related tools.
Work with engineers to deploy and evolve services across major cloud providers, including GCP, Azure, and Oracle Cloud.
Build AI-enabled tooling and workflows that improve software development and deployment velocity.
Establish tools and processes for monitoring service reliability, availability, and performance.
Investigate incidents, identify root causes, and automate solutions to prevent recurrence.
Operate and scale production Kubernetes clusters, including maintaining Kustomize manifests and Helm charts.
What We're Looking For
At least 8 years of software or platform engineering experience, including 3 or more years working with infrastructure as code.
Production ownership of Kubernetes clusters used as an internal platform, with hands-on Helm and Kustomize experience.
Strong Terraform or Terragrunt experience, along with ArgoCD or equivalent GitOps and CI/CD tooling.
Deep expertise with at least one major cloud provider, such as GCP, Azure, Oracle Cloud, or AWS.
Experience building or operating AI/ML infrastructure or supporting real-time, low-latency workloads is a plus.
A technical or STEM degree, or comparable technical foundations.
Compensation & Benefits
Base salary range: $280,000 to $350,000 annually. Visa sponsorship is available.
Location
Hybrid role based in Mountain View, California, United States.
- TView description๐ San Francisco, Californiaโ Posted 13 days ago๐ San Francisco, Californiaโ Posted 13d ago
About the Role
Join the product team at a Series A/B industrial staffing and AI platform company. You will shape core staffing marketplace workflows and help build an agentic AI platform that automates work in customer supply chain operations.
What You'll Do
Own product strategy for staffing, marketplace workflows, and the AI agent platform.
Balance customer needs, operational realities, business outcomes, technical constraints, and evolving AI capabilities.
Write detailed product requirements and partner with engineering, product engineering, and machine learning teams to deliver products.
Build systems that improve marketplace liquidity, fulfilment, matching quality, and operational efficiency.
Design agents that understand context, reason through workflows, orchestrate tools, and execute work.
Define agent behaviour, evaluation systems, and quality frameworks to improve reliability and performance.
Use data to investigate marketplace and product questions, including writing SQL queries.
Prototype and validate ideas with customers, design partners, operations teams, and field teams, then launch and iterate across regions and operating environments.
Communicate product strategy, systems, and workflows clearly across technical and non-technical teams.
What We're Looking For
Three to ten years of product management experience owning complex products at fast-growing startups, with tangible business results.
A track record of shipping products at scale with speed in early-stage, ambiguous environments and across cross-functional teams.
Strong technical skills, including SQL, and fluency using AI tools such as Claude in your workflows.
Experience across multiple product areas or domains, such as marketplaces, matching and recommendations, recruiting, AI-enabled platforms, or operational software.
Ability to work with non-technical users and understand industries such as logistics, supply chain, or healthcare.
Experience building agentic AI products is valuable. Strong computer science fundamentals or a technical degree are also relevant.
Compensation & Benefits
Base salary: $150,000 to $250,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California.
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- AView description๐ Office - USA - CA -…โ Posted 15 days ago๐ Office - USA - CA - Headquarters, Californiaโ Posted 15d ago
Our Mission
At Palo Alto Networksยฎ, weโre united by a shared missionโto protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If youโre ready to do the most meaningful work of your career alongside people who are just as passionate as you are, youโre in the right place.
Who We Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. Thatโs why most of our teams work from the office full time, with flexibility when itโs needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.Job Summary
Your Career
Palo Alto Networks' ADEM group is seeking an accomplished Principal AI-ML / Data Scientist to serve as a principal technical anchor for our next-generation AIOps platform. In this role, you will bridge the gap between advanced AI research and production-grade backend software engineering, turning massive system telemetry into autonomous, self-healing capabilities.
You will lead the technical design of intelligent, agentic workflows while simultaneously playing a pivotal role in our core backend rearchitecture. This role is ideal for a hands-on technical leader who thrives on building advanced reasoning systems, optimizing large-scale data foundations, and mentoring engineering teams to deliver planet-scale impact.
Your Impact
- Lead the design and implementation of ML/LLM/GenAI-powered agents capable of planning, multi-step execution, self-correction, and seamless collaboration with humans or other agents.
- Build advanced reasoning pipelines, retrieval systems (RAG), and knowledge graph integrations that support autonomous task execution and network troubleshooting.
- Build, fine-tune, or adapt LLMs, multimodal models, and specialized agent models. Successfully integrate traditional AI/ML and statistical models into these agentic workflows to handle complex endpoint telemetry.
- Drive end-to-end solution development from prototype to production, ensuring maximum scalability, reliability, safety, observability, and performance.
- Establish best practices for prompt design, agent memory management, tool usage, and context optimization within the agent ecosystem.
- Continuously evaluate emerging agent frameworks, LLM tooling, and generative AI technologies to inform platform architecture and roadmap decisions.
Qualifications
Your Experience
- 8+ years in software engineering, with a track record of deploying production-grade ML, GenAI, or agentic workflows at scale.
- Strong Python (for AI/ML) combined with professional Go or Java experience for backend microservices.
- Hands-on experience with SQL, designing and restructuring BigQuery schemas, and building/managing scalable data pipelines using Dataflow, Google ADKย and GKE
- Solid understanding of retrieval systems (RAG), prompt engineering, model evaluation, and statistical modeling.
- Ability to build platform-level services that integrate cleanly with adjacent ecosystems (e.g., Prisma Access, Cortex).
- BS/MS in Computer Science, Data Science, Engineering, or a related field.
- Knowledge of L3-L7 networking is desirable .ย
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
$163,200.00 - $264,000.00/yrOur Commitment
Weโre trailblazers that dream big, take risks, and challenge cybersecurityโs status quo. Itโs simple: we canโt accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at ย [email protected].
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship?: Yesย
ย
- CView description๐ San Francisco, Californiaโ Posted 17 days ago๐ San Francisco, Californiaโ Posted 17d ago
About the Role
Own the agent infrastructure that helps AI systems execute tasks reliably, retain useful context over time, and involve people when needed. You will work across agent orchestration, memory, evaluation, and production reliability, shipping systems for real users and improving them through production feedback.
What You'll Do
Build and maintain infrastructure that lets agents execute tasks reliably across many iterations.
Design memory and retrieval systems that preserve client context from messy operational data.
Develop evaluation harnesses that teams can use to make production deployment decisions.
Measure, test, troubleshoot, and improve agent systems, including failure recovery and reliability.
Collaborate with customers and contribute to infrastructure, orchestration, and team growth as needed.
What We're Looking For
At least 3 years building and shipping LLM agents that ran unattended in production for real users.
Experience building evaluation harnesses used to guide production releases.
Strong Python skills for production systems, plus hands-on experience with agent orchestration, infrastructure, or workflow management.
Experience implementing memory and context retrieval for operational data, beyond demo datasets.
Experience with agent tooling, frameworks, or libraries, and production patterns for retries, failure recovery, and reliability.
A track record of taking a technical project from conception to production; open-source agent tooling or LLM infrastructure experience is a plus.
Compensation & Benefits
Base salary is $150,000 to $250,000 USD annually, plus meaningful early equity. Visa sponsorship is available.
Location
On-site in San Francisco, United States.
- PView description๐ Remote๐ San Francisco, Californiaโ Posted 17 days ago๐ Remote๐ San Francisco, Californiaโ Posted 17d ago
Own Your Intelligence
Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.
Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.
Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators, including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.
Role Impact
Build the inference systems that power Prime Intellectโs RL research, scaling toward 1โ3T parameter models on NVL72 clusters. Your work will improve rollout throughput and make frequent model updates practical.
Responsibilities
Extend prime-rlโs vLLM integration to bring new model architectures into RL training, with small-scale validation before larger runs.
Improve rollout throughput for long-horizon agents, tuning concurrency and KV-cache reuse as context lengths grow.
Optimize multi-node MoE inference, including expert parallelism and the tradeoffs of separating prefill from decode.
Reduce trainer-to-inference weight-update overhead through sharding-aware transfer and communication overlap, while keeping rollout workers on the intended policy version.
Build on FP8 and evaluate lower precision. Use trainer/sampler mismatch checks to catch numerical regressions and measure the effect on RL training.
Work with model researchers on architecture choices that improve inference efficiency, balancing model quality against execution cost on the target hardware.
Requirements
Experience building or optimizing GPU inference systems, with an understanding of inference-engine internals.
Strong Python skills and experience with PyTorch or a comparable ML framework.
Ability to profile end-to-end workloads and turn measurements into verified performance improvements.
Experience debugging numerical or integration issues in ML systems.
Nice to have
Contributions to vLLM or another inference engine.
CUDA or Triton kernel work, particularly for low-precision inference.
Benefits and Perks
Cash Compensation Range of $150-350k, including equity incentives, aligning your success with the growth and impact of Prime Intellect.
Flexible work arrangements, with the option to work remotely or in-person at our offices in San Francisco.
Visa sponsorship and relocation assistance for international candidates.
Quarterly team off-sites, hackathons, conferences and learning opportunities.
Opportunity to work with a talented, hard-working and mission-driven team, united by a shared passion for leveraging technology to accelerate science and AI.
If you're excited about the opportunity to build the foundation for the future of decentralized AI and create a platform that empowers developers and researchers to push the boundaries of what's possible, we'd love to hear from you.
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- FView description๐ San Francisco, Californiaโ Posted 18 days ago๐ San Francisco, Californiaโ Posted 18d ago
About the Role
Join an early-stage AI infrastructure team building tools that simplify the deployment and operation of production Kubernetes environments. You will help shape the platform and infrastructure layer that enables developers to manage workloads across multiple clusters.
What You'll Do
Build platform features in Go, including custom Kubernetes operators and controllers.
Design GitOps workflows with ArgoCD to support continuous deployment.
Create infrastructure-as-code patterns with Terraform and Helm to provision and manage clusters.
Work on distributed storage using Ceph and WEKA for scalable, high-performance environments.
Develop observability and monitoring with Prometheus and Grafana to surface cluster health and performance.
Improve container networking with Cilium, with attention to security and observability.
Design federated Kubernetes architectures for multi-cluster management.
Build automation that reduces operational work for developers running production workloads.
What We're Looking For
At least 2 years of software development experience, with around 5 years preferred.
Hands-on experience writing Go for Kubernetes environments and managing production Kubernetes clusters at meaningful scale.
Experience with distributed storage such as Ceph or WEKA, and designing multi-cluster or federated Kubernetes architectures.
Practical experience with GitOps and ArgoCD, plus infrastructure as code using Terraform, Helm, or comparable tools.
Familiarity with observability tools such as Prometheus and Grafana; open-source infrastructure contributions are a plus.
Knowledge of cloud-native infrastructure, container networking, and cloud platforms is valuable.
Compensation & Benefits
Base salary: $180,000 to $210,000 annually. Visa sponsorship is available.
Location
This is a full-time, on-site role in San Francisco, California, United States.
- AView description๐ San Francisco, Californiaโ Posted 18 days ago๐ San Francisco, Californiaโ Posted 18d ago
About TypeSafe
Weโre building prod, not god. TypeSafe is an AI lab pushing frontier model intelligence in a new direction, starting with System One Models. We combine the reasoning of LLMs with the reliability of code, for truly trustworthy AI. Our first model, Jev, launched in September 2026.
While others chase leaderboards, weโre rebuilding the LLM stack from first principles to make models smarter and also dependable enough to run in production. Weโre a small, fast team backed by an $870M Series A led by a16z. Made in SF, with love. Come join the frontier.
About the role
Youโll build and own the data infrastructure and internal tooling that support our engineering, analytics, and business teams. Youโll work across ingestion, storage, transformations, and access controls, helping make our data reliable and easy to use.
Responsibilities include:
Build and maintain data pipelines, infrastructure, and internal tools
Support data transformations, analytical models, and BI workflows
Manage data access and permissioning
Improve reliability, performance, and data quality
Work with teams across the company to understand and support their data needs
We expect that you
Have experience in data engineering, infrastructure, or backend systems
Are familiar with Kafka, ClickHouse, a data orchestrator such as Dagster or Airflow, and similar technologies
Are comfortable with SQL, data transformations, and permissioning
Understand how data infrastructure supports BI and analytics
Take ownership, collaborate well, and adapt to changing requirements
Are excited about our mission and working on a small team
We are hoping that you
Have built and operated large-scale, production data systems
Have experience building internal tools and supporting analytics
Have worked on a team with strong engineering standards
Are familiar with AI and its practical applications
Life at TypeSafe
Weโre a small, flat, close-knit team working to make intelligence dependable enough to become part of everyday software. We work fully in person from our San Francisco office near Embarcadero station. We love what we do and care deeply about the work.
We strive for excellence and craftsmanship and wonโt stop until we get there. When the team wins, we all win, and we enjoy collaborating and inspiring each other to growโas a team and as individuals.
We value emotional honesty, kindness, and bringing your whole self to work. We build machines; we donโt try to be machines.
We want TypeSafe to be the place where you do the most impactful work of your career and help define our future as a company.
We provide
100% covered health insurance
Daily lunch and dinner
Visa sponsorships
401K plans
- TView description๐ New York, New Yorkโ Posted 20 days ago๐ New York, New Yorkโ Posted 20d ago
About the Role
Join an early-stage AI sales platform serving the home services industry as its first dedicated customer success hire. You will own customer outcomes and revenue growth while building the processes that support retention, expansion, and a future customer success team.
What You'll Do
Manage a growing portfolio of customers, with accountability for retention, expansion, and referrals.
Build and refine customer success processes, including onboarding, health scoring, business reviews, and renewals.
Work closely with customers to understand their needs, build trusted relationships, and identify upsell and cross-sell opportunities.
Travel to customer offices and job sites to meet operators and strengthen customer relationships.
Establish the foundation for a customer success team as the business grows.
What We're Looking For
Three to eight years of experience in customer success, account management, or sales, ideally at a startup.
A strong commercial track record driving account expansion, upsells, or net revenue retention.
Experience building customer-facing playbooks and processes from the ground up, including onboarding or business review programs.
A self-directed, adaptable approach and comfort working in a growing company with evolving processes.
Familiarity with AI tools and Notion; experience in home services, the trades, or voice AI is relevant.
Willingness to travel approximately 10% to 25% for customer visits.
Compensation & Benefits
The salary range is $110,000 to $150,000 USD annually. Visa sponsorship is available.
Location
This is an on-site role in New York, New York, with an expectation of working from the office five days per week.
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- FView description๐ South San Francisco,…โ Posted 20 days ago๐ South San Francisco, Californiaโ Posted 20d ago
About the Role
Lead the platform engineering work behind the compute, data, AI, and security infrastructure for a biotechnology sequencing operation. You will combine hands-on engineering with technical leadership to build reliable systems that support lab operations and scientific data workflows.
What You'll Do
Own services that orchestrate lab devices, including robots, sequencers, and on-premises Linux servers, as well as the data ingestion pipeline.
Build AWS infrastructure and data pipelines to store, process, and deliver large volumes of sequencing data.
Design queues, workflow orchestration, and scheduling systems to run bioinformatics tasks reliably at scale.
Build internal AI infrastructure and tools for agentic systems that monitor operational quality, coordinate logistics, and support adaptive bioinformatics analysis.
Lead cross-functional projects from initial design through production, and mentor engineers while remaining actively involved in implementation.
What We're Looking For
At least 5 years of experience in platform, backend, or infrastructure engineering, with experience leading projects and mentoring engineers on a small team.
Strong AWS orchestration experience, especially ECS, AWS Batch, and Step Functions, plus Python backend development with FastAPI or Django.
Experience administering Linux servers and working with distributed task queues such as Celery or SQS.
A track record designing and shipping reliable distributed systems, including queues, orchestration, and state machines.
Experience building LLM or agent systems, including tooling, evaluation, safety and permissions, and prompt and workflow design.
A technical degree in computer science, engineering, mathematics, physics, or equivalent experience, along with curiosity about biotech and scientific domains.
A hands-on approach, with at least 70% of time spent on individual-contributor work, and familiarity with current AI tooling.
Compensation & Benefits
Salary range: $205,000 to $235,000 annually. Visa sponsorship is available.
Location
Hybrid in South San Francisco, California, United States.
- TView description๐ San Francisco, Californiaโ Posted 21 days ago๐ San Francisco, Californiaโ Posted 21d ago
About the Role
Join an engineering team building AI workflow automation for the insurance industry. In this hands-on, customer-facing role, you will understand enterprise brokerage workflows, build solutions on the platform, and help turn successful implementations into scalable product capabilities. The work is roughly 70% coding and 30% customer scoping.
What You'll Do
Own customer implementations from requirements gathering through deployment.
Work with enterprise customers after the sale to understand business problems and define technical solutions.
Build and ship AI agents and automations, often within the same week as initial customer conversations.
Bring successful customer-specific solutions into the core platform.
Partner with product and engineering teams to shape scalable features from customer insights.
What We're Looking For
Three to six years of software engineering, forward deployed, solutions, implementation, or product engineering experience.
Experience regularly working with customers to scope, build, and deploy solutions, alongside strong hands-on coding skills.
Full-stack proficiency and experience with Python and/or TypeScript.
Startup or software consulting experience, preferably at a venture-backed company.
Experience building or deploying production AI/ML automations or agentic workflows; familiarity with LLM automation pipelines is a plus.
Ability to manage enterprise deployments, switch between customer communication and focused engineering work, and take ownership in a fast-moving environment.
A degree from a highly regarded university or comparable academic background.
Insurance or financial services experience is helpful.
Compensation & Benefits
Salary range is $180,000 to $300,000 USD annually. Visa sponsorship is available.
Location
On-site, five days per week in San Francisco, California, United States.
- DView description๐ San Francisco, CAโ Posted 21 days ago๐ San Francisco, CAโ Posted 21d ago
Source: Paraform - https://www.paraform.com/share/furtherai/cms3gcwgi003t0dkw9ymq3vcy ยท Company: further.ai
Location: On-site, 5 days/week in San Francisco ยท Full-time ยท Salary $225K - $350K plus competitive equity ยท Open to visa transfers (e.g. OPT, H1B transfers), case-by-case basis
About FurtherAI
FurtherAI is building the AI agents that run insurance, a trillion-dollar industry still powered by manual work. Its domain-specific AI Workspace automates workflows like submission intake, policy comparisons and underwriting audits, and supports customers writing over $15B in premiums across all 50 states. Founded in 2024, FurtherAI has raised $30M from investors including Andreessen Horowitz, Y Combinator, Nexus and South Park Commons, and works with top 10 carriers/brokers and F100 and public companies. Both founders are engineers, and engineers have an outsized say on product direction.
The role
Join the agent team as a Staff AI Engineer and shape both the product and how FurtherAI builds agents. This is not a model-training role: you'll build orchestration and reasoning systems on top of existing LLMs.
What you'll do
Set up end-to-end evals to measure and improve agent performance.
Experiment with new agentic techniques: multi-agent systems, reasoning-from-feedback, and more.
Build lightweight tools, servers and orchestration layers (e.g. MCP servers) that let agents run reliably in production.
Stay on top of emerging research on LLMs/agents and bring ideas into production experiments.
Representative projects
Eval harnesses that measure and lift agent accuracy on real insurance work
Orchestration and tools (e.g. MCP servers) that keep agents reliable in production
Multi-agent systems and reasoning-from-feedback loops
Long-running agents that read documents, pull from connected systems, and take actions end to end
Benefits
Fully covered health, dental and vision benefits
Competitive compensation, meaningful stock options, company 401(k)
Unlimited PTO
In-office culture in San Francisco, lunch and dinner onsite
Team events such as happy hours and off-sites
Pre-tax commuter benefits
8+ years building in ML/AI at a high-growth top tech company
Strong experience with Python
Amazing ability to speak with LLMs (Occam's razor in prompting)
Clear communicator, both in person and in writing
Bonus: background in B2B SaaS and 0-1 experience
Above all: drive, grit and ownership
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- TView description๐ San Francisco, Californiaโ Posted 21 days ago๐ San Francisco, Californiaโ Posted 21d ago
About the Role
Join the infrastructure team at a B2B web data company, building systems that keep high-volume web extraction reliable when websites actively resist automated access. You will own production infrastructure end to end, with a focus on proxy operations, browser identity, and challenge handling.
What You'll Do
Architect and operate proxy rotation, IP and session management, and isolated egress nodes at scale.
Improve extraction reliability against anti-bot and anti-scraping defenses that change over time.
Build and maintain browser and TLS fingerprinting, CAPTCHA handling, and challenge-solving infrastructure.
Monitor proxy-layer health and cost efficiency, and improve its operational economics.
Investigate intermittent production failures, implement durable fixes, and support systems through on-call ownership.
What We're Looking For
More than 3 years of experience in adversarial web infrastructure or proxy-layer engineering, including production-scale work in the last two years.
Hands-on experience operating proxy systems for third-party web extraction, managing IP and session behavior, and working with browser or TLS fingerprints and CAPTCHA or challenge handling.
Experience building data-extraction infrastructure that handles adversarial defenses, rather than general backend, platform, or cooperative-networking systems.
Proficiency with Go and/or Python, plus networking fundamentals such as TCP/IP, HTTP/2, connection pooling, and proxy orchestration.
Experience owning production systems and on-call responsibilities, with observability tools such as Prometheus and Grafana.
Familiarity with relevant tools and systems such as headless browsers, JavaScript, Node.js, Redis, PostgreSQL, Kafka, Kubernetes, Docker, AWS, Terraform, and CI/CD.
Compensation & Benefits
Annual salary range: $235,000 to $260,000 USD. Visa sponsorship is available.
Location
Hybrid in San Francisco, California, United States.
- PView description๐ Remote๐ Remote - USA - CA,…โ Posted 21 days ago๐ Remote๐ Remote - USA - CA, Californiaโ Posted 21d ago
Our Mission
At Palo Alto Networksยฎ, weโre united by a shared missionโto protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If youโre ready to do the most meaningful work of your career alongside people who are just as passionate as you are, youโre in the right place.
Who We Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters.Job Summary
The Staff Customer Engineer serves as the technical bridge between engineering and customer-facing teams, enabling Domain Consultants and support teams to successfully run POVs, deploy solutions, and support customers. You will translate live customer issues into actionable engineering fixes, taking full ownership of the bug-resolution lifecycle and the safe deployment of updates directly to customers.
Qualifications
Key Responsibilities
- Act as a technical bridge between engineering and customer-facing teams to ensure seamless communication.
- Own the end-to-end resolution of technical issues, diagnosing complex bugs and managing deployment to customer environments.
- Develop deep expertise in the product's architecture, capabilities, internal systems, and technical roadmap.
- Enable Domain Consultants to successfully run POVs, including deployment, troubleshooting, and demonstrating value to customers.
- Support internal teams in diagnosing and resolving complex customer issues to improve overall reliability.
- Build internal tools and systems allowing support teams to perform initial triage independently.
- Improve scalability by reducing dependency on engineering for routine support and POV-related issues.
- Own or lead the triage of the most complex and high-impact customer issues to ensure rapid resolution.
- Partner with engineering to identify root causes of issues and drive long-term, sustainable fixes.
- Identify recurring friction points in POVs and customer deployments, working proactively to eliminate them.
- Contribute to internal documentation, troubleshooting guides, and playbooks to empower cross-functional teams.
Required Qualifications
- B.Sc. in Computer Science, Industrial Engineering, Software Engineering, or a related technical discipline (or equivalent practical experience).
- Strong software engineering background with a deep, system-level understanding of software architectures, network, and infrastructure.
- Proven experience diagnosing, debugging, and resolving complex technical issues within real-world, production customer environments.
- Demonstrated ability to quickly master new system architectures and independently debug unfamiliar, legacy, or proprietary codebases.
- Experience partnering closely with pre-sales, field engineering, or customer success teams to support the technical retention lifecycle.
- Exceptional communication and presentation skills in English, translating technical concepts for highly technical and semi-technical stakeholders.
- A strong 'builder' mentality, with a track record of developing scalable tools, automation scripts, and repeatable processes.
Preferred Qualifications
- Experience working within the cybersecurity sector or at a cyber-focused technology company.
- A foundational background in software engineering, with a practical understanding of software architectures, network, and infrastructure.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
$95,200.00 - $154,000.00/yrOur Commitment
Weโre trailblazers that dream big, take risks, and challenge cybersecurityโs status quo. Itโs simple: we canโt accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at ย [email protected].
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship?: Yesย
ย
- DView description๐ New York, NYโ Posted 21 days ago๐ New York, NYโ Posted 21d ago
AIVC Studio: builds AI ventures from validated concepts to shipped products.
Comp: $190K-$250K + Bonus, platform equity, studio fund participation, PE fund carry. Location: Hybrid, 3 days in office (21st & Broadway NYC or Chicago). Visa: Visa transfers (OPT, H1B).
Responsibilities
Build end-to-end agentic AI systems (agents, retrieval, orchestration, tools) for Studio ventures 0-to-1 through PMF
Take a venture's first product from scope to ship, then harden for production
Extract reusable primitives across builds
Shape what gets built with product strategists and design partners
Operate across different venture contexts; thrive in ambiguity
Tech stack: Python, LLMs, Agentic AI frameworks, RAG/retrieval, ML model serving, Eval & regression suites, CI/CD, Observability
Source: https://www.paraform.com/share/aivc/cmtdf6zuv008q0dif35n7werz
2-5+ yrs at top quant (Citadel, Two Sigma, DE Shaw, Jane Street) or elite tech (Google, Stripe, Ramp, Databricks, Modal) with clear individual output
Shipped and operated production AI systems with real users
Entrepreneurial instinct (side project, startup, internal 0-to-1)
Top-tier STEM degree
Commercial EQ with non-technical stakeholders
Hybrid 3 days NYC or Chicago
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- DView description๐ San Francisco, CAโ Posted 21 days ago๐ San Francisco, CAโ Posted 21d ago
Source: Paraform - https://www.paraform.com/share/furtherai/cmrtt91wm00060cjr9af0gg8b ยท Company: furtherai.com
Location: On-site, 5 days in-office in San Francisco, CA ยท Full-time ยท $300K - $450K base salary plus competitive equity ยท Open to visa transfers (e.g. OPT, H1B transfers) and visa sponsorships (e.g. new H1B, TN)
About FurtherAI
FurtherAI is a domain-specific AI for the insurance industry. Its AI Workspace automates workflows like submission intake, policy comparisons and underwriting audits; a submission that took an underwriter 6-8 hours can be completed in as little as 10-15 minutes. FurtherAI supports customers writing over $15B in premiums across all 50 US states, serving insurers, reinsurers, MGAs and brokers. Founded 2024, $30M total funding, backed by a16z, Y Combinator, Nexus, South Park Commons and Converge. Both founders are engineers.
The role
Own and scale FurtherAI's AI organization, leading the team building production LLM-powered agents that automate critical insurance workflows, and shaping the technical direction of the entire AI org.
What you'll do
Own and grow the AI org, scaling it into three teams: AI infrastructure (routing & reliability), Agent intelligence (evals, shared tools, multimodal pipelines), and Agentic products (customer-facing AI assistant, long-running workflows)
Set technical direction for agents that hold up in real production on real customer money, including model routing, multi-agent orchestration and reliability
Recruit, mentor and retain a world-class team of AI engineers, hiring the leaders beneath you as the org scales post-Series A
Stay deeply technical: still in the code and architecture, setting the bar by example
Push the frontier of what AI agents can do for insurance
Tech stack
LLMs, Agentic AI, Python, Multi-agent orchestration, Model routing, Evaluation frameworks, Multimodal pipelines
7+ years of experience in AI/ML engineering and managing teams at a VC-backed startup
Hands-on technical leadership in production LLM agents (model routing, multi-agent orchestration, evals, reliability)
Experience recruiting, mentoring and retaining engineering teams
- DView description๐ New York, NYโ Posted 21 days ago๐ New York, NYโ Posted 21d ago
Rengo AI: AI-native data platform for alternative investment managers (NYC, $2M, Primary Ventures).
Comp: $165K-$290K + equity. Location: On-site 5 days NYC. Visa: Open to visa transfers (OPT, H1B).
Responsibilities
Work directly with asset managers and portfolio companies to build custom AI-powered data solutions
Own end-to-end delivery from discovery to production (Python, FastAPI, Temporal, React)
Curate customer-specific technical roadmaps: part PM, part engineer
Use LLMs/agents heavily on AI-native internal infra
High-autonomy work with founding team
Tech stack: Python, FastAPI, Temporal, dbt, Terraform, AWS, React, Docker, LLMs
Source: https://www.paraform.com/share/rengo-ai/cmtw2b412000l0cjvjw3yvowf
1-6+ yrs software engineering
Interest in customer-facing applied AI / forward-deployed work
Python backend + React; LLMs in production
Comfort with ambiguity; on-site 5 days NYC
- TView description๐ New York, New Yorkโ Posted 21 days ago๐ New York, New Yorkโ Posted 21d ago
About the Role
Join a product engineering team building an AI-enabled workforce marketplace for industrial operations. You will apply existing AI agents and frontier models to real product challenges, helping automate how workers are sourced, vetted, matched, and placed while contributing to broader product and platform work.
What You'll Do
Integrate AI agents and language models into product experiences across worker, business, and operations tools.
Build and improve workflows for worker vetting, matching, and shift fulfillment.
Lead frontend and backend development, and mentor other engineers.
Design and build APIs, distributed systems, real-time matching, and automated workflows.
Own product features end to end, partnering with product and design to address user needs.
Contribute to the highest-priority product and platform problems, whether or not they involve AI.
What We're Looking For
Three to four years of software engineering experience, with a track record of owning and shipping products in early-stage or fast-growing teams.
Experience delivering projects at scale in fast-moving, ambiguous environments and collaborating across functions.
Strong product judgment and an ability to connect user needs to measurable business impact.
Experience with TypeScript, React or React Native, Node.js, and/or PostgreSQL.
Hands-on experience integrating LLMs or agents into production products, including prompts and tool integrations, and building new AI-powered product capabilities.
Strong technical fundamentals and experience across frontend, backend, and deployment.
Interest or experience in marketplaces, matching systems, staffing, or operational industries such as logistics and supply chain.
Compensation & Benefits
Salary range: $140,000 to $200,000 USD annually. Visa sponsorship is available.
Location
On-site in New York, New York, United States.
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- CView description๐ San Francisco, Californiaโ Posted 22 days ago๐ San Francisco, Californiaโ Posted 22d ago
About the Role
Join an early-stage team building agentic software for real-world business systems. You will own the agent layer end to end, setting the patterns for how agents are built, evaluated, and improved in production.
What You'll Do
Build context and self-learning systems that accumulate knowledge and improve agent performance over time.
Develop workflows that detect production failures, diagnose their causes, and recover autonomously.
Create and evolve the agent harness and meta-harness for building and evaluating agents efficiently.
Establish practices for agent tracing, evaluation, and iterative improvement across the product.
Work closely with the founders, experiment with new approaches, and help hire and grow the team.
What We're Looking For
Two to nine years of professional software engineering experience, including experience building software at an early-stage company or as a startup founder.
Recent experience building agentic software and shipping working systems to production.
Strong experience with context engineering, eval-driven iteration, agent tracing, and production evaluation.
Hands-on experience building systems that learn from accumulated knowledge, autonomous failure detection or recovery workflows, or reusable agent harnesses.
Proficiency with TypeScript, Effect-TS, PostgreSQL, and LLM or agent technologies.
A completed or in-progress degree in engineering, computer science, or a quantitative field from a strong technical university.
Compensation & Benefits
Annual salary range: $150,000 to $300,000 USD. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States, five days per week.
- MView description - by 4 Day Week๐ Remote๐ United Statesโ Posted 23 days ago๐ Remote๐ United Statesโ Posted 23d ago
Job Description
The Pharmacokinetics, Dynamics, Metabolism and Bioanalytics (PDMB) function of our Research & Development Division, is seeking a dynamic and collaborative individual to lead a team of scientists in the Drug Metabolism and Pharmacokinetics (DMPK) group in West Point, Pennsylvania.ย The team primarily supports discovery programs across modalities (small molecules and conjugates) and therapeutic areas, enabling strategic decisions from lead selection through FIH.ย As Director in the West Point DMPK group, your main responsibility is leading a motivated team of experienced Scientists representing the department in cross-functional teams as well as a group of bench scientists, charged with conducting mechanistic ADME studies. The position requires a focus on talent development as well as scientific creativity.
The DMPK director must be able to work collaboratively in a fast-paced environment, drive innovation, and have excellent scientific, interpersonal and communication skills in order to guide the team on the design, implementation and interpretation of in silico, in vitro and in vivo studies necessary to influence decisions in drug discovery and development.
The ideal candidate will have an in-depth understanding of ADME, as well as pharmacokinetic and PK/PD principles that impact the discovery and development of new chemical entities. Experience with small molecules drug discovery is expected and additional experience with various drug modalities across therapeutic areas is desired. The candidate should be familiar with PK, PK/PD and PBPK modeling as tools to drive decision making.
We are highly engaged in influencing the success of a large and exciting portfolio and continue to evolve the influence of new computational and laboratory techniques towards the selection of differentiated products.ย This role provides a unique opportunity to influence our evolving pipeline while enabling the growth of the next generation of leaders.
Education Minimum Requirement:- PhD. in chemistry, Pharmaceutical Sciences, Pharmacology, Biomedical Engineering, Biochemistry, or related field with 8+ years of experience supporting drug discovery in the Pharmaceutical Industry.
- Applicants with MSci. degree with 12+ years relevant industry experience will be considered.
Required Experience and Skills:
- Experienced in providing DMPK support in drug discovery programs, including assessment of tractability, dose and PK predictions, drug metabolism, assessment of drug interaction risk and communicating analyses and recommendations to interdisciplinary teams and management.
- Experienced in integrating preclinical ADME, PK, and pharmacology data to enable translational PK/PD modeling and simulation to support dose selection, design of PK/PD and safety assessment studies, and dose justifications for preclinical and clinical studies
- Knowledge of cutting-edge in silico approaches to inform decision making related to the characterization of metabolism, drug interactions, exposure-response relationships and variability.
- Knowledge of modern instrumentation in support of DMPK workflows.
- Strong leadership, interpersonal, communication, problem solving, and collaboration skills along with strength in delivering results on firm deadlines.
- At least 3 yearsโ experience with management or supervision of staff.
- A strong aptitude for and previous experience in managing scientific teams and attracting, developing, and retaining talent.
- Excellent verbal and written communications skills and an ability to excel in a team-based environment.
Preferred Experience and Skills:
- Experience with authoring documents in support of regulatory filings, including IBs, INDs and CTDs as well as responses to regulatory questions.
- Experience with evaluation of third-party assets.
- Strong publication track record in ADME science and/or the Drug Discovery and Development field.
Primary Responsibilities:
- Providing strategic, scientific, and operational leadership for a group of scientists responsible for support, through experimentation and project representation on discovery teams.
- Actively working with staff to encourage and facilitate their career development.
- Collaborating with internal stakeholders to ensure the timely delivery of quality data and documentation.
- Collaborating with members of the DMPK organization and PDMB at large to support the advancement of scientific and strategic initiatives.
- Setting future strategy and facilitating/implementing new technologies in the organization
- Providing scientific oversight of programs supported by staff in the group and thorough and timely review of internal and external documents prepared by team members.
Required Skills:
ADME, ADME, Bioanalysis, Bioanalytical Assays, Clinical Pharmacology, Cross-Cultural Awareness, Dosing, Drug Development, Drug Discovery Research, Drug Metabolism, Drug Research, Immunoassays, Innovation, Investigational New Drug, In Vitro Research, In Vivo Studies, Mentoring Staff, Modeling Simulations, Pharmaceutical Analysis, Pharmaceutical Industry, Pharmaceutical Research, Pharmaceutical Sciences, Pharmacodynamics, Pharmacokinetics, Pharmacology {+ 8 more}
Preferred Skills:
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Current Contingent Workers apply HERE
US and Puerto Rico Residents Only:
Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.
As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.ย ย As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.ย For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
EEOC Know Your Rights
EEOC GINA Supplementโ
We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one anotherโs thinking and approach problems collectively.
Learn more about your rights, including under California, Colorado and other US State Acts
The primary location for this posting is:
USA - Pennsylvania - West Point
Where required by law, the compensation range for this role is provided below.
The salary range for the primary location of this role is:
$173,200.00 - $272,600.00
This range reflects the Company's reasonable expectation of the base salary applicable to this role at the time of posting. An employeeโs position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.
We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.
Additional location(s): Please note the salary range above applies to the Primary Location of the position. Where a role has other listed locations, different compensation guidelines may apply. You may find the salary ranges for additional locations below. If the salary range is not listed for the location you are applying to, our Talent Acquisition team will provide further information to you relevant to your location.
Additional location(s) Compensation Information:
San Francisco Residents Only:ย We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance
Los Angeles Residents Only:ย We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angelesโ Fair Chance Initiative for Hiring Ordinance
Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. ย No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
Domestic
VISA Sponsorship:
Yes
Travel Requirements:
10%
Flexible Work Arrangements:
Hybrid
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
n/a
Job Posting End Date:
10/31/2026
*A job posting is effective until 11:59:59PM on the day BEFOREย the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. - CView description๐ Berlin, Berlinโ Posted 23 days ago๐ Berlin, Berlinโ Posted 23d ago
About the Role
Join a small engineering team building voice AI agents for customer-facing workflows. You will own projects end to end, from technical design through production, across applied AI, real-time audio, and distributed systems.
What You'll Do
Build reliable voice AI systems, including retrieval, dynamic model routing, and testing speech transcription systems before production rollout.
Design and operate distributed call scheduling systems that handle concurrent workloads, time zones, retries, race conditions, and provider limits.
Extend agents across voice, messaging, and email, maintaining shared context between real-time and asynchronous interactions.
Develop memory and reasoning systems that preserve context across customer workflows.
Build tools that help configure agents, debug issues, and connect to CRM, calendar, and email systems.
Improve tracing and resilience so teams can identify call failures and respond to issues with workers or providers.
What We're Looking For
At least 2 years of experience building and owning production software, including distributed systems and end-to-end product delivery.
Production experience with Python, FastAPI, or TypeScript, plus PostgreSQL, Redis, or similar data stores.
Experience with real-time systems, audio processing, or voice infrastructure, and with LLMs, AI models, or agentic systems in production.
Knowledge of distributed systems concepts such as race conditions, load balancing, and fault tolerance, plus experience with AWS, GCP, or Azure.
Familiarity with workflow orchestration or messaging tools such as Temporal, and observability tools such as OpenTelemetry or Honeycomb.
Full-stack experience with tools such as React is useful. Strong software fundamentals, independent problem-solving, and a focus on customer and business outcomes are important.
Technologies include Python, FastAPI, LiveKit, TypeScript, Bun, Node.js, Fastify, React, PostgreSQL, Redis, Temporal, and major cloud platforms.
Compensation & Benefits
Compensation is โฌ85,000 to โฌ160,000 annually, plus equity. Visa sponsorship is available.
Location
On-site in Berlin, Germany.
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- TView description๐ San Francisco, Californiaโ Posted 23 days ago๐ San Francisco, Californiaโ Posted 23d ago
About Thinking Machines
The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.
About the Role
We're hiring a Software Engineer to build and scale the distributed production inference systems that serve Inkling, Inkling-Small, and Tinker in production. You'll own the systems that turn trained models into fast, reliable, cost-efficient services โ from request routing and batching to multi-node serving and GPU utilization at scale.
This is a systems-heavy, production-first role. You'll work closely with research and infrastructure teams to translate rapidly evolving model architectures into serving systems that meet real-world latency, throughput, and reliability requirements, and you'll be on the front line when production inference systems need to scale, recover, or improve.
What You'll Do
Design, build, and operate distributed infrastructure for large-scale model serving, including request routing, load balancing, batching, and multi-node coordination
Optimize inference latency and throughput in production, including work on KV cache management, continuous batching, speculative decoding, and quantization
Build and maintain high-concurrency serving systems with strong uptime, low tail latency, and deep observability
Benchmark, tune, and extend inference engines to support new model architectures as they move from research into production
Partner with research and infrastructure teams to translate emerging model designs into production-ready serving systems
Build tooling for tracing, debugging, and resolving issues across the serving stack, from orchestration down to GPU kernels
Participate in on-call rotation to support production inference systems
Skills & Qualifications
3+ years of experience building and operating distributed systems in production
Strong systems programming skills in Python, C++, Rust, or similar languages
Experience with production infrastructure at scale: reliability, observability, and performance under real-world load
Solid understanding of networking, concurrency, and distributed systems fundamentals
Preferred Qualifications
Experience with LLM inference engines such as vLLM, SGLang, or TensorRT-LLM
Familiarity with GPU programming (CUDA) or low-level performance optimization
Experience with model parallelism, tensor/pipeline parallelism, or other distributed inference techniques
Track record of operating large-scale production systems with strict latency and uptime requirements
Experience with Kubernetes or similar orchestration systems for GPU workloads
Contributions to open-source ML systems or inference infrastructure projects
Logistics
Location: This role is based in San Francisco, CA.
Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $500,000 USD (placeholder โ verify against current internal bands before publishing).
Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
- MView description๐ San Francisco, Californiaโ Posted 24 days ago๐ San Francisco, Californiaโ Posted 24d ago
Join the Future of Robotic Biomanufacturing!
Multiply Labs is a robotics company on a mission to solve a significant bottleneck in modern medicine: the manufacturing of life-saving advanced biologics, from gene and cell therapies to antibodies and more.
Today, these therapies are produced through manual, labor-intensive processes. Costs are extremely highโoften $500Kโ$2M per patientโlimiting access to only a small fraction of those who need them.
As product complexity increases and the cost of failure and scientific labor rises, the industry is shifting toward automation. Robotics and AI are making automated biologics manufacturing feasible, reliable, and economically scalable.
We believe the future of biomanufacturing is roboticโclosed, automated, and scalableโensuring critical therapeutics are accessible to every patient who needs them.
Why This Matters
We donโt just build robotsโweโre building the essential infrastructure for next generation biologics. Our technology enables biopharma companies to scale production without redesigning their science, reducing regulatory hurdles and lowering costs so these treatments can reach more patients.
The Stack & The Scale
-
The Mission: Build the worldโs best robots to make life-saving therapies accessible to all.
-
The Technology: Advanced robotic orchestration, high-precision automation, cloud-integrated hardware-software systems, dextrous manipulation, and imitation learning.
-
The Location: Headquartered in San Francisco, CA.
-
The Backing: Supported by premier investors, including Casdin Capital, Lux Capital, and Y Combinator.
To learn more and to view a video of our robots in action, visit us at www.multiplylabs.com and follow us on LinkedIn.ย
\n
About The RoleAs a member of our Software Infrastructure Team, you will be a key technical leader responsible for the robust infrastructure that keeps our automated manufacturing systems running. You will act as a critical bridge, partnering with our internal developers to streamline workflows while ensuring our external customers experience a seamless, high-availability product. This role is for a passionate, hands-on engineer dedicated to building a robust software environment that has a direct impact on patient lives.
Responsibilities-
Design, implement, and maintain the infrastructure for reliable, secure, and scalable over-the-air (OTA) updates and configuration management for a fleet of IoT devices
-
Architect, deploy, and manage highly available, fault-tolerant, and performant cloud services in AWS to ensure 99.99%+ uptime for critical systems
-
Maintain and improve automated integration test suites and CI/CD pipelines to ensure the reliability, speed, and ease of use of our software stack and build process
-
Implement and enforce security best practices across the infrastructure, including least-privilege access controls, secrets management, vulnerability scanning, and robust network segmentation
-
Implement comprehensive logging, monitoring, and alerting using tools that provide deep visibility into system health and performance
-
Monitor cloud resource utilization continuously and implement strategies for cost efficiency without compromising reliability or performance
-
Mentor junior engineers, conduct code reviews, and champion software engineering best practices (clean architecture, testing patterns) to elevate the team
Qualifications-
Bachelorโs or Masterโs degree in Computer Science, Engineering, or a related discipline
-
5+ years of professional experience in infrastructure or site reliability engineering, with a focus on cloud platforms, distributed systems, or complex automation
-
Hands-on experience with AWS (Lambda, IoT Core, DynamoDB) or similar cloud platform
-
Familiarity with container orchestration (Docker, Kubernetes)
-
Expertise in Python and a strong command of infrastructure-as-code principles (e.g., system design, networking, security, monitoring)
-
Ability to design, build, and maintain highly reliable, scalable, and secure cloud infrastructure (e.g., CloudFormation, Terraform, CI/CD pipelines)
-
Deep comfort working in Linux environments, including networking configuration, systemd services, and shell scripting
-
Experience working with VPN technologies and foundational knowledge of networking principles
-
Excellent communication and problem-solving skills, with the ability to translate complex customer and developer requirements into robust infrastructure logic
-
Comfortable working in a fast-paced, technically challenging startup environment; able to balance context switching between multiple projects and on-call responsibilities
Preferred Qualifications-
Experience managing open source projects
-
Prior experience with SOC2 / ISO 27001 / GMP / CFR Part 11
-
Prior experience at a hardware startup or robotics company
-
Familiarity with biomanufacturing or lab automation
-
Experience working in regulated environments (e.g., GMP, FDA, ISO standards)
Physical & Working ConditionsStandard work schedule with occasional evenings, weekends, or on-call support for critical issues or time-sensitive maintenance
Perks & BenefitsTotal Rewards & Life at Multiply Labs
-
Competitive Compensation: Salary range of $175,000 - $230,000ย plus meaningful early-stage equity. We want our team to have a real stake in the future weโre building.
-
Premium Health: Premium Medical, Dental, and Vision plans with subsidies for child dependents.
-
Wealth Building: 401(k) with a 4% company match to help you plan for the long term.
-
Pre-Tax Commuter Benefit. Pay for eligible transit and parking with pre-tax dollars to save on commuting costs.
-
Parental Support: Robust Paid Parental Leave to support your familyโs newest additions.
-
True Flexibility: We offer Flexible PTO and 12 Paid Holidays, trusting you to manage your time and recharge when you need it.
-
No Set Hours: Set your own schedule in alignment with your manager and team. We hold a high bar, measuring success by impact and outcomes โ not hours logged.
-
Office Perks: A vibrant SF office culture featuring catered team lunches, stocked kitchen, and frequent team events.
-
H-1B and Green Card sponsorship available for exceptional talent.
-
Referral bonuses for helping us build a world-class team.
-
Great people, meaningful work, and a team that genuinely believes in what we're building.
Come build the worldโs best robotsโand help make life-saving therapies accessible to all.
\n$175,000 - $230,000 a year\nWe actively seek candidates with diverse perspectives and lived experiences. Weโre committed to building a team where everyone feels valued, respected, and empowered to do their best work.
Multiply Labs encourages candidates from all backgrounds to apply โ even if you donโt meet every qualification. If youโre excited about our mission and think you can contribute, weโd love to hear from you.
Our headquarters is located in San Franciscoโs vibrant Dogpatch neighborhood. This role does not require regular travel. Occasional travel may be expected on the same basis as the rest of the Software Engineering team (e.g., team offsites, occasional on-site support needs).
-
- AView description๐ Chicago, Illinoisโ Posted 27 days ago๐ Chicago, Illinoisโ Posted 27d ago
Career Area:
Technology, Digital and DataJob Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you'reย joining a global team who cares not just about the work we do โ but also about each other.ย We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don'tย just talk about progress and innovation here โ we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Help Build the Future of Caterpillar โ
At Caterpillar, technology always has a purpose, which is to solve our customersโ toughest challenges. ThroughโฏCat Technology, we are solving problems by building the intelligence layer that connects machines, data, and people to make jobsites safer, more productive, and more sustainable. By combining deep domain expertise in physical systems with software, connectivity, autonomy, and AI, we deliver solutions that work in the real worldโon real jobsites, at global scale.
Youโll build and deploy against one of the most unique data foundationsโover 1.6 million connected assets generating real-world data daily. These data and platform capabilities are enabling the development of AI models, edge computing architectures, and software systems that scale across fleets, products, and industries. The result will be a new generation of machines that continuously learn, improve, and deliver performance at scale.
Be Part of Whatโs Next in Autonomous Construction Sites
Construction autonomy is one of the most complex challenges in applied AI, and at Caterpillar, advancements in physical AI, simulation, sensing, and edge computing are turning things that once felt impossibleโintelligent machines operating in dynamic jobsitesโinto reality.
Our connected ecosystem brings together massive volumes of high-quality data to create a foundation where engineers like you can build and deploy against.
If this work motivates you, we invite you to join our team. In these roles, youโll work at the intersection of the physical and digital worlds. Youโll help design and deliver intelligent systems that enable machines to perceive their environment, make informed decisions, and support safer, more productive operations.
Apply today to build the new era of construction autonomy at Caterpillar.
Job Summary
As a Data Engineer, you will actively participate in designing, building, and maintaining scalable data pipelines, microservices, and cloud-based data systems in an agile development environment, with a focus on performance, reliability, and data quality.
What You Will Do:
- Design, build, and optimize data pipelines and microservices using Python for real-time and batch processing
- Develop cloud-based data ingestion solutions using AWS services (Kinesis, S3, DynamoDB, EventBridge, etc.)
- Build and maintain data integration workflows for source data pipelines aligned to CI Autonomy
- Translate business requirements into reliable data workflows, mappings, and system designs
- Implement automated testing and validation to ensure data integrity across distributed systems
- Monitor and troubleshoot pipelines using tools like CloudWatch to maintain reliability
What You Will Have:
- Decision Making and Critical Thinking: Ability to analyze issues in distributed data systems and deliver scalable solutions
- Effective Communication: Ability to document data flows, mappings, and system behavior clearly for cross-team use
- Software Development: Experience building backend systems and pipelines using Python, Java, and modern frameworks
- Software Development Life Cycle: Experience delivering solutions in an agile environment
- Software Integration Engineering: Experience integrating APIs, streaming platforms, and databases
- Software Product Design/Architecture: Ability to design scalable, event-driven data systems
- Software Product Technical Knowledge: Strong understanding of AWS services and data engineering tools
- Software Product Testing: Experience implementing testing strategies to ensure data quality and system reliability
Top Candidates Will Have:
- Bachelorโs degree in Computer Science, Computer Engineering, or related field
- 2+ years development experience on modern, large scale, complex data platforms
- 3+ years developing and deploying Java or Python solutions to a production environment
- Experience building high-throughput, scalable data pipelines
- Strong hands-on experience with AWS data services (Kinesis, S3, DynamoDB, EventBridge, etc.)
- Proficiency in SQL, including data quality and validation practices
- Proficiency in deploying software using CI/CD tools such as Azure DevOps, Jira, Jenkins, etc.
- Experience developing microservices that support real-time data ingestion
- Experience developing software applications using relational and noSQL databases
- Ability to ensure data integrity across distributed and streaming systems
- Experience with API development and secure integrations (OAuth 2.0)
- Proven experience with monitoring, testing, and automation in large-scale data environments
Additional Details:
- This position requires the candidate toย work full-time at the Chicago, IL office
- Domestic relocation assistance is available for this position.
- Visa sponsorship is available with this position.
ย
ย
Summary Pay Range:
$97,530.00 - $158,480.00Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location,ย job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.ย
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
Medical, dental, and vision benefits*
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
401(k) savings plans*
Health Savings Account (HSA)*
Flexible Spending Accounts (FSAs)*
Health Lifestyle Programs*
Employee Assistance Program*
Voluntary Benefits and Employee Discounts*
Career Development*
Incentive bonus*
Disability benefits
Life Insurance
Parental leave
Adoption benefits
Tuition Reimbursement
ย ย ย ย ย ย ย
* These benefits also apply to part-time employees
ย
ย
This position requires working onsite five days a week.ย
ย
Relocation is available for this position.ย
ย
Visa sponsorship is available for eligible applicants.ย
ย
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities.ย Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.
- HuddleMate - Answer every question in your next interview or meeting
- AView description๐ London, Englandโ Posted 27 days ago๐ London, Englandโ Posted 27d ago
About Anthropic
Anthropicโs mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Anthropic
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Beneficial Deploymentsย
Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences - focusing on raising the floor for those who need it most.
About the Role
We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team. This is a partner-facing role: you'll support nonprofits, research institutes, academic medical centres and public-sector funders as they use Claude to get treatments to patients with rare and neglected diseases, where there is little or no commercial incentive to fund development.
The role focuses on two areas where we think Claude can help these partners today. The first is clinical trials. Trials in these diseases have small patient populations, investigator-led or nonprofit funding and little operational support, and they often stall on protocol quality, operational risk and site start-up. Claude can help teams design better trials and start them sooner. The second is drug repurposing: finding new uses for approved, usually off-patent or generic medicines, whose known safety profiles can let a good hypothesis reach patients years sooner than a new molecule.
You'll advise and embed in partners' teams, building alongside their engineers, scientists and clinicians.
Responsibilities
- Work with partners' trial teams to design, review and prioritise clinical trials with Claude: drafting and reviewing protocols and statistical analysis plans, and flagging enrolment and operational risks.
- Build and validate tools that help partners find new uses for approved, mostly off-patent medicines in rare and neglected diseases, from literature, omics and patient data, and assemble the evidence so the partner can decide the next step.
- Build reusable infrastructure other institutions can adopt (MCP servers for biomedical data sources, agent skills, benchmarks grounded in real clinical questions), and feed what you learn in the field back to product, engineering and research.
You Might Be a Good Fit If You Have
- Hands-on experience designing, running or analysing clinical trials, or finding new uses for existing medicines. Deep experience in one; both are a bonus. Having contributed to a regulatory submission for a trial is a plus.
- Comfort with biomedical data: literature, omics, and real-world patient data (health records, registries, claims), ideally inside secure or trusted research environments.
- Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure it.
- Experience working directly with external partners or customers in a technical role.
- Clear written and verbal communication: docs other institutes can use without you, and results clinicians trust.
- A scrappy mentality: you're comfortable in ambiguity, wear several hats, and do what it takes to get a result for a partner.
The annual compensation range for this role is listed below.ย
For sales roles, the range provided is the roleโs On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:ยฃ225,000โยฃ255,000 GBPLogistics
Minimum education: Bachelorโs degree or an equivalent combination of education, training, and/or experience
Required field of study:ย A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:ย We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.ย Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you fromย @anthropic.comย email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any linksโvisitย anthropic.com/careersย directly for confirmed position openings.How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact โ advancing our long-term goals of steerable, trustworthy AI โ rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:ย Learn aboutย our policy for using AI in our application process.
- NView description๐ Rutland, VT, USAโ Posted 7 days ago๐ Rutland, VT, USAโ Posted 7d ago
Neurologist (ABPN BC/BE)
Compensation: Competitive salary + Signing Bonus + Relocation + Loan Repayment
Job Type: Full time. 8am-5pm. Monday - Friday. 1:4 call schedule
Location: Rutland, Vermont
We are seeking a Board Certified or Board Eligible Neurologist to join a well-established neurology practice within a respected, award-winning community hospital. This is a broad-based general neurology opportunity with the ability to expand services, including botulinum toxin injections for migraine, cervical dystonia, and limb spasticity.
Job ResponsibilitiesProvide comprehensive outpatient and inpatient general neurology services
Evaluate and manage acute and chronic neurologic conditions
Interpret EEG and EMG studies (preferred)
Perform or expand into botulinum toxin injections as desired
Collaborate with hospitalists, primary care providers, and specialty teams
Maintain timely and accurate documentation
Contribute to quality initiatives and clinical excellenceQualifications
MD or DO from an accredited medical school
Completion of an accredited Neurology residency program
Board Certified or Board Eligible through ABPN
Eligible for or holding an active Vermont medical license
EEG and EMG experience preferred
Strong clinical judgment and commitment to patient-centered careBenefits:
Open to visa candidates
Exceptionally competitive salary
10 weeks of paid vacation annually
Annual CME allowance, licensing, and specialty society reimbursement
Comprehensive health benefits
Short-term and long-term disability coverage
403(b) and 457(b) retirement plans
PSLF-eligible employer
Paid malpractice coverage with tail
Relocation assistance
Educational loan repayment - NView description๐ Rutland, VT, USAโ Posted 7 days ago๐ Rutland, VT, USAโ Posted 7d ago
Workplace: On-site
Salary: $450,000.00 - $600,000.00
Anesthesiologist (BC/BE)
Job Type: Full-time. Day shift. Average 3โ4 weekday call shifts per month.
Location: Rutland, Vermont
We are seeking a Board Certified or Board Eligible Anesthesiologist to join a well-established, collaborative anesthesia team serving as the exclusive provider of anesthesia services at a community hospital. This is an excellent opportunity to join a supportive group of Anesthesiologists working alongside CAAs and CRNAs in a collegial, team-oriented environment.
Job Responsibilities:Provide safe, high-quality anesthesia care for surgical and procedural cases
Conduct pre-anesthesia evaluations and develop appropriate anesthesia plans
Administer general, regional, and monitored anesthesia care (MAC)
Monitor patients intraoperatively and manage hemodynamic stability
Provide post-anesthesia care and pain management
Collaborate closely with surgeons, nursing staff, CRNAs, and CAAs
Participate in shared weekday call schedule (3โ4 shifts per month on average)
Ensure timely, accurate documentation in accordance with hospital standards
Maintain compliance with regulatory, credentialing, and quality standardsQualifications:
MD or DO from an accredited medical school
Completion of an accredited Anesthesiology residency program
Board Certified or Board Eligible in Anesthesiology
Eligible for or holding an active Vermont medical license
Eligible for hospital credentialing and privileges
Current ACLS certification (or ability to obtain)
Strong clinical judgment and commitment to patient safety
Ability to work collaboratively within a team-based anesthesia modelBenefits:
Open to visa candidates
Sign-on and/or retention bonus
10 weeks of paid vacation annually
Annual CME allowance, licensing, and specialty society reimbursement
Comprehensive health benefits
Short-term and long-term disability coverage
403(b) and 457(b) retirement plans
Paid malpractice coverage
Relocation assistance
Educational loan repayment - HuddleMate - Answer every question in your next interview or meeting
- AView description - by 4 Day Week๐ Remote๐ United Statesโ Posted 3 days ago๐ Remote๐ United Statesโ Posted 3d ago
Job Profile:
HR Services Specialist 3
Job Family:
HR Services
Time Type:
Full time
Apply before 11:59 PM Arizona time the day before the posted End Date.
Minimum Qualifications:
Bachelor's degree and five (5) years of experience appropriate to the area of assignment/field; OR, Any equivalent combination of experience and/or training from which comparable knowledge, skills and abilities have been achieved.
Job profile Summary:
Serves as a resource within the college to perform HR activities and advises on policies, procedures, statues, and laws to ensure all human resources transactions are processed in accordance to policy and law.
Job Description:
The Department of Physics is seeking a Department Human Resources Specialist Senior to support a broad range of human resources functions, including recruitment, onboarding and offboarding, employee records, student employment, international visa processes, volunteer and affiliate administration, and departmental compliance activities (e.g., payroll reconciliation, benefits information sessions, HR reporting and data audits, employee communications, and process improvement initiatives). This position works collaboratively with the ASU Central HR team (OHR), faculty, staff, students, and other central university partners to provide accurate, responsive, and customer-focused HR
services.
Position Salary Range:- $60,000 - $68,000 USD per year
Essential Duties:
- Coordinate volunteer appointment requests and renewals, and support compliance processes for minors participating in laboratory or campus activities. Partner with departmental safety and compliance personnel to ensure required approvals, documentation, training, and records are completed and maintained.
- Monitor Affordable Care Act (ACA) compliance activities by reviewing employee hours, appointment details, and related employment data; identify potential concerns and coordinate with employees, supervisors, and central university partners to resolve discrepancies as needed.
- Complete monthly payroll reconciliations and review payroll reports for each payroll cycle to identify, research, and resolve variances in coordination with employees, supervisors, and central university partners.
- Verify student-hire eligibility each semester, including enrollment requirements. Monitor graduation notifications and employment records to identify student employees whose appointments may require review; communicate with supervisors and coordinate timely employment actions, including end dates, as appropriate.
- Maintain physical and electronic personnel files in accordance with university records-retention requirements and confidentiality standards, including ongoing cleanup and organization of electronic records.
- Coordinate department-supported international visa processes, including initial requests, renewals, and record management for J-1, H-1B, permanent residency, and other applicable visa types. Serve as a departmental point of contact for procedural questions, communicate requirements and timelines, and coordinate with the International Students and Scholars Center, University Human Resources, faculty sponsors, and other appropriate partners.
- Manage courtesy affiliate appointments and related records, including annual renewals, required documentation, and coordination of additional network access when needed.
- Coordinate competitive recruitment processes in Workday and Interfolio for a range of employee categories, including faculty, academic professionals, postdoctoral scholars, staff, graduate students, and student workers.
- Process waiver hire requests for staff, postdoctoral scholars, academic professionals, and faculty in accordance with university policies and required approval processes.
- Support the processing of student hires during peak periods, including graduate renewal cycles, special projects, and other delegated departmental needs.
- Process staff personnel actions in Workday, including FTE, title, salary, and other employment changes, in accordance with university policies and approval requirements.
- Coordinate employee onboarding and offboarding, with particular responsibility for staff employees, to ensure required hire, separation, access, and related employment actions are completed accurately and on time.
- Assist with graduate student and faculty renewal processes, including preparing and processing required documentation, tracking deadlines, and coordinating with relevant departmental and university partners.
- Coordinate and process the annual faculty summer pay cycle, including summer financial aid and faculty teaching-pay actions, in accordance with university deadlines, policies, and approval requirements.
- Guide employees, students, supervisors, and sponsoring faculty through the Authorized Driver process, including reviewing driver authorization requests, communicating requirements, and coordinating completion for departmental needs such as class field trips.
- Respond to questions from employees and supervisors regarding HR business practices and ASU policies, providing clear guidance and connecting individuals with appropriate university resources when needed.
- Work directly with central university partners as needed to support HR operations and resolve employee matters, including ASU Payroll, the Office of Human Resources, Student Employment, the International Students and Scholars Center, The College Deanโs Office, and Insurance and Risk Management.
- Support special projects, reports, process improvements, and other duties as assigned to advance effective departmental operations.
- Stay current on ASU policies and procedures and applicable state and federal laws to support compliant, accurate HR operations.
Desired Qualifications:
- Advanced knowledge of human resources principles, practices, regulations, and professional standards.
- Knowledge of ASU policies, procedures, and HR business practices.
- Experience using ASU systems, including Workday, Interfolio, and reporting or analytics tools, as well as productivity and project-management platforms such as Google Workspace, Microsoft Office, Smartsheet, Dropbox, and Airtable.
- Demonstrated ability to independently lead the development, implementation, and continuous improvement of departmental HR compliance and monitoring processes, particularly those related to payroll, visa administration, and employee status. Ability to collaborate with departmental staff and university partners while taking ownership of projects from assessment through implementation.
- Experience processing payroll and completing payroll reconciliations.
- Experience working in higher education, preferably within an academic unit.
- Experience processing and managing immigration matters, including J-1, H-1B, O-1, permanent residency, and other applicable visa types.
- Demonstrated knowledge of the Fair Labor Standards Act (FLSA), Family and Medical Leave Act (FMLA), Affordable Care Act (ACA), and applicable university policies and procedures.
- Excellent communication skills, with the ability to communicate clearly and professionally with audiences.
- Ability to work collaboratively, efficiently, and effectively with faculty, staff, students, and university partners.
- Demonstrated commitment to exemplary customer service through active listening, timely communication, and responsive follow-through.
- Ability to work effectively in a fast-paced environment with changing priorities, sensitive and confidential information, and competing deadlines.
Working Environment:
- Activities are performed in an environmentally controlled office setting and require extended periods of sitting, keyboarding, and using a computer mouse.
- The position also requires standing for varying periods, walking moderate distances, and occasional bending, reaching, lifting, pushing, and pulling of up to 25 pounds.
Department Statement:
The Department of Physics at ASU is proud to be:- Ranked among the top 20 physics programs in the West.
- Home to a Doctoral program ranked 50th nationally.
- A global leader in microscopy and diffraction methods.
We are dedicated to developing exceptional programs and research opportunities for students studying physics. Our faculty are among the finest researchers, educators, and mentors in the field, driving innovation and discovery.
As leaders in solid-state physics research at the nanometer scale, we utilize state-of-the-art instrumentation, including electron microscopes, scanning probe microscopes, ion-beam probes, solid-state lasers, and a low-energy electron microscope. Our experimental research spans the smallest scales, with access to world-class accelerators worldwide.
Driving Requirement:
Driving is not required for this position.
Location:
Campus: Tempe
Funding:
No Federal Funding
Instructions to Apply:
Current employees, student workers seeking staff opportunities, and students applying for student worker positions must apply directly through the Workday Jobs Hub.
To be considered, your application must include all of the following attachments:- Cover letter
- Resume or CV
Multiple documents may be uploaded in the attachments section. Alternatively, applicants may combine all required materials into a single PDF for submission. Please ensure uploaded documents are clearly labeled and include your name.
Please ensure your resume includes all employment information in month and year format, for example 6/04 to 8/14, along with job title, job duties, and employer name for each position. Your resume should clearly demonstrate how your experience and background meet the minimum and desired qualifications for this position. Incomplete applications or missing required materials may not be considered.
Important: Do not withdraw your application to make edits. Once an application is withdrawn, it cannot be edited, reactivated, or replaced with a new submission. If you have questions or need assistance, please contact The Office of Human Resources Talent Acquisition before the posting close date.
Graduate Assistant, Intern and part-time positions are counted as half time for experience equivalency, meaning one year equals six months of experience.
Only electronic applications will be accepted for this position. By submitting an application, you confirm that the information provided is accurate and complete.
ASU Statement:
Arizona State University is a new model for American higher education, an unprecedented combination of academic excellence, entrepreneurial energy and broad access. This New American University is a single, unified institution comprising four differentiated campuses positively impacting the economic, social, cultural and environmental health of the communities it serves. Its research is inspired by real world application blurring the boundaries that traditionally separate academic disciplines. ASU serves more than 100,000 students in metropolitan Phoenix, Arizona, the nation's fifth largest city. ASU champions inclusive excellence, and welcomes students from all fifty states and more than one hundred nations across the globe.
ASU is a tobacco-free university. For details visit https://wellness.asu.edu/explore-wellness/body/alcohol-and-drugs/tobacco
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other basis protected by law.
Notice of Availability of the ASU Annual Security and Fire Safety Report:
In compliance with federal law, ASU prepares an annual report on campus security and fire safety programs and resources. ASUโs Annual Security and Fire Safety Report is available online at https://www.asu.edu/police/PDFs/ASU-Clery-Report.pdf. You may request a hard copy of the report by contacting the ASU Police Department at 480-965-3456.
Relocation Assistance โ For information about schools, housing child resources, neighborhoods, hospitals, community events, and taxes, visit https://cfo.asu.edu/az-resources.
ASUโs comprehensive benefits package is a key part of your total compensation. Visit the ASU Compensation Estimator
Employment Verification Statement:
ASU conducts pre-employment screening which may include verification of work history, academic credentials, licenses, and certifications.
Background Check Statement:
ASU conducts pre-employment screening for all positions which includes a criminal background check, verification of work history, academic credentials, licenses, and certifications. Employment is contingent upon successful passing of the background check.
Fingerprint Check Statement:
This position is considered safety/security sensitive and will include a fingerprint check. Employment is contingent upon successful passing of the fingerprint check. - KView description๐ Remote๐ Tokyo, Tokyoโ Posted 4 days ago๐ Remote๐ Tokyo, Tokyoโ Posted 4d ago
Company Description
About Wizcorp ๐ฆ๐ฏ๐ต๐ฎ
Wizcorp is a highly specialized game development studio based in Tokyo and operating 100% remotely. We are a cross-cultural team of passionate individuals working together toward one goal: bringing back magic to game development.
How?
- We get better every day. Our technical abilities should never limit our ideas.
- We question the status quo. We don't accept yesterday's answers to tomorrow's challenges.
- We follow our moral compass. Our values guide our decisions.
- We surround ourselves with people who believe in our mission. Our staff, clients, and partners are all part of the equation.
- We learn and share. We want our successes and failures to contribute to the collective wisdom of our profession.
Wizcorp offers a friendly and honest working environment. Our work is challenging but rewarding, with countless personal and professional growth opportunities.
This position requires you to reside in Japan during your employment with Wizcorp.
ย
Job Description
Wizcorp is looking for Rendering Engineers to work on exciting projects for next-generation consoles. Depending on your background, skills, and experience weโll find the most suitable role within our teams.
Is this job for me? ๐จโ๐ฆฐ๐ฉโ๐ฆณ๐งโ๐ฆฒ
You have a few years of work experience working with rendering pipelines and have successfully shipped console titles featuring your work. You are comfortable diving into foreign codebases, quickly understanding the architecture, and integrating your work seamlessly. You live and breathe C++ and shader languages (HLSL/GLSL), and youโre not afraid to deep-dive into the GPU architecture itself to make visual and performance improvements.
Sounds like you? Then this job is for you!
ย
Typical day ๐ฎ๐๐น๏ธ
You start your day by reviewing code from other engineers and ensuring they meet quality expectations. You will mainly develop rendering systems and graphics utilities for custom proprietary or commercial engines. On some days you might be implementing a new global illumination solution that fits well within the existing codebase, on others you might have to do architectural changes to the rendering pipeline in order to accommodate new visual features in a clean and extensible manner. You may have to work on shader optimization, GPU profiling, memory management for graphics resources, or collaborating with Technical Artists to support their workflows.
ย
The ideal candidate will be able to
Design, test, and debug own code without assistance from other engineers
Break down large graphics features into engineering tasks and work with other engineers to complete them
Decipher and understand complex graphics systems and rendering techniques
Mentor engineers in rendering development and optimization best practices
Develop systems with a strong focus on optimization and performance
Have a deep understanding of modern graphics APIs (e.g., DirectX 12, Vulkan, Metal) and rendering architectures
Confidently communicate with all members of the company and external client teams
ย
Roles and Responsibilities ๐ ๏ธ๐งชโจ
Estimate own tasks and deliver them in a timely manner
Write clear, maintainable code that passes review by other senior engineers
Raise all blockers when they arise to the project lead
Test and document provided solutions to allow other developers to review and learn
Implement and uphold software engineering best practices, adhering to both internal standards and specific client coding guidelines.
Take ownership of large areas of the code base and large complex features
Take ownership of mission-critical areas of the codebase
Coordinate with members outside of the engineering team to deliver features in a timely manner
Determine large feature feasibility and propose solutions
Provide solid programming expertise to deliver large features and architecture suggestions
Provide code review analysis that uses all relevant experience to foresee problems with design and implementation
ย
Qualifications
Requirements
๐คน Skillset ๐คน
Ability to write clean, readable, performant code and design the architecture around it
Excellent debugging and optimization skills
Excellent written and verbal communication
Knowledge of existing rendering techniques and lighting models
Focus on performance analysis and GPU profiling, with a strong familiarity with tools such as PIX or RenderDoc
Strong 3D math skills
Willingness to work as part of a team and contribute to technical discussions
Eager to both provide and receive constructive feedback for continual growth
High adaptability to jump between different projects, tech stacks, and proprietary client engines
Strong software development skills, design theory, and development processes
Strong personal time management
Experience in one or multiple of the following:
Creation of custom graphics engines
Feature implementation on existing rendering pipelines
Implementation of graphics specific profiling/debugging tools
Development targeting PlayStation, Microsoft or Nintendo platforms
Familiarity with other target platforms, such as PC or mobile
ย
โญ Experience โญ
University degree in Engineering, Computer Science or related discipline; or relevant professional experience
3+ years professional software engineering experience
2+ years professional experience developing rendering pipelines or custom graphics engines
Solid software engineering abilities (good code hygiene, familiarity with various coding patterns, etc.)
Strong experience with C++ and proficiency in shader programming (HLSL, GLSL)
Comfortable with source code management systems (Git, SVN, Perforce, etc.)
English proficiency (ability to read, write, and discuss technical matters)
ย
๐ Preferred ๐
Experience with some of the following languages: C#, Python, shell scripting (Bash, PowerShell, etc.) for graphics tooling
Experience with other game engines such as Unreal, Unity, proprietary engines, or others
At least 3 years of experience in the video game industry
At least conversational Japanese proficiency - JLPT N3 or aboveย
Worked on at least 1 released game
ย
Additional Information
๐ Business hours and Location ๐
โฒ Flexibility in time
We all have different creative clocks, and you know yours better than we do.
We will expect you to work 8 hours per day from Monday to Friday with core hours between 11:00 and 16:00 (excluding a 1-hour break). The rest will be up to you.
๐ Flexibility in location
Wizcorp fully embraces telework, and most of us work from home. Office space is also available for your convenience, and you will have access to meeting rooms and hot desks.
We may require you to work onsite on specific occasions when using highly specialized equipment.
Offices are located at 1 Chome-22-19 Izumi 8~9F, Suginami City, Tokyo 168-0063 (๐บ map)
You must reside in Japan during your employment at Wizcorp. We offer legal support for visa applications. Depending on your situation, we may allow you to work outside of Japan during your probation period.
๐ท Employment Type ๐ทโโ๏ธ
Permanent
โปDepending on experience, level, and project or business requirements, the role may initially be offered on a fixed-term contract, with the potential to transition to a permanent position.๐ด Salary ๐ด
The following tiers are currently in application for this position:
RE1: 400~450K/month
RE2: 450~550K/month
RE3: 550~600K/month
All new staff membersโ initial salary will be based on experience and interview evaluation.
Includes a 6 months probation period. Salary is not affected nor changed during that period.
๐น Raises and bonuses ๐น
- You will be reviewed once a year and your salary will be adjusted to match with gained experience and project contributions.
- Pay raises are awarded around March each year, in line with our budget and financial forecasting for the subsequent year.
- We do not offer bonuses.
๐ท๏ธ Additional benefits ๐ท๏ธ
- Monthly allowance for home office equipment and supplies (15,000 JPY/month)
- Private language tutoring (Japanese and/or English)
- Commute fees (however, train passes are not reimbursed)
โจ๏ธ Holidays and vacations โจ๏ธ
- Weekends and national holidays
- Summer/winter vacation: 5 days per year (paid, applicable after the probation period)
- Annual Paid Leave: 10 days per year (first year, following the probation period)
- Bereavement/funeral leave
- Sick leave: 5 days per year (paid, applicable after the probation period)
๐ค Welfare ๐ค
- Social insurance
- Parental leave (learn more here)
ย
Keywords is committed to creating a diverse,ย inclusive and supportive working environment.ย
ย
Role Information: EN
Studio: Wizcorp
Location: Asia Pacific, Japan
Area of Work: Game Development
Service: Create
Employment Type: Full Time, Permanent
Working Pattern: Remote
PERSONAL DATA PROTECTION POLICY
Keywords Studios is strongly committed to protecting your personal information. By sending your CV/Resume, you are agreeing to our terms and conditions and consent to your data being managed and retained in accordance with our data privacy and retention policy https://www.keywordsstudios.com/en/applicant-privacy-notice/.
PERSONAL DATA PROTECTION POLICY
Keywords Studios is strongly committed to protecting your personal information. By sending your CV/Resume, you are agreeing to our terms and conditions and consent to your data being managed and retained in accordance with our data privacy and retention policy https://www.keywordsstudios.com/en/applicant-privacy-notice/.
- Department: Engineering
- Compensation: JPY 4800000 - JPY 7200000 - yearly
- View description - by Remote Nurse Connection๐ Chicago, Illinois, United…โ Posted 10 days ago๐ Chicago, Illinois, United Statesโ Posted 10d ago
Ann & Robert H. Lurie Childrenโs Hospital of Chicago provides superior pediatric care in a setting that offers the latest benefits and innovations in medical technology, research and family-friendly design. As the largest pediatric provider in the region with a 140-year legacy of excellence, kids and their families are at the center of all we do. Ann & Robert H. Lurie Childrenโs Hospital of Chicago is ranked in all 10 specialties by the U.S. News & World Report.
Location
Ann & Robert H. Lurie Children's Hospital of ChicagoJob Description
The Clinical Quality Coordinator (CQC) RN works in collaboration with a broad group of stakeholders to support continuous quality improvement at micro, meso, and macrosystem levels. They will share responsibility for providing facilitation, coordination services, consultation and management of various quality improvement and safety activities from designated microsystems to projects that are large-scale and across the medical center. The CQC RN fosters improvements and care through quality improvement,ย safety, evidence informed practice and utilization of electronic health records and analytics. They are an expert in use of formal quality improvement methodologies and technologies to improve the quality, safety, and efficiency of care delivery processes and outcomes, and the use of data to drive improvements.ย
This position reports to the Senior Director of Nursing Excellence and works in close collaboration with their respective unit Director.
ย
Essential Job Functions:
โขย ย ย Responsible for aiding in prioritization of current and future quality improvement initiatives by analyzing internal data and external comparative data to identify trends and opportunities for improvement in clinical care. Partners to align all initiatives with organizational and departmental goals and priorities and maintain regulatory standards.ย
โขย ย ย Ability to lead and facilitate quality improvement projects across levels of the organization with a focus on micro and mesosystem levels with some macrosystem level projects.ย
โขย ย ย Serves as safety event liaison. Ensures investigation of safety events and indicated follow-up performed. Maintains safety reporting data for presentation to local and organizational leadership. ย
โขย ย ย Has extensive knowledge of the principles of high reliability organizing and actively applies those principles in all work striving to achieve zero harm. Partners with local leadership team to facilitate local safety coach program, routine interdisciplinary safety rounds, and complete indicated follow-up.ย
โขย ย ย Manages oversight for the local improvement projectโs maintenance, which includes ongoing data analysis/sharing. Lead discussions with content and data experts to identify appropriate metrics and guide improvement work that impacts quality, safety, and compliance data. Works with those experts to create data visuals and ensure ongoing data monitoring.
โขย ย ย Serves as a quality improvement mentor by supporting departmental and clinical leadership and staff in developing knowledge on quality improvement frameworks and the integration of quality improvement methodology into project work.
โขย ย ย Collaborates in benchmarking, evidence review and synthesis, manual observations, chart reviews and sustainability efforts of quality improvement projects.โขย ย ย Conducts literature searches of the subject matter both independently and in collaboration with the key clinical stakeholders to foster evidence-informed practice when applicable.
โขย ย ย Develops and validates tools for the collection of data. ย
โขย ย ย Collaborates with clinical informatics and the data analytics team, using available informatics tools and reports / dashboards to monitor quality improvement. Monitors metrics and ensures feedback is routinely shared with clinical stakeholders.
โขย ย ย Contributes to the promotion of Ann & Robert H. Lurie Childrenโs Hospital and the field of quality improvement by spearheading submissions for presentation and publication.
โขย ย ย Maintains bedside nursing skills and credibility with staff to allow for direct evaluation of the practical impact of quality improvement initiatives.โขย ย ย Perform job functions adhering to service principles with customer service focus of innovation, service excellence and teamwork to provide the highest quality care and service to our patients, families, and colleagues.ย
โขย ย ย All other duties as assigned.Knowledge, Skills, and Abilities:
โขย ย ย Bachelorโs degree required. ย Masterโs degree in a related field preferred.
โขย ย ย Registered RN in the state of Illinois required, active in good standing.โขย ย ย Minimum 2 years of clinical, coordinator or experience in related field.
โขย ย ย Formal quality improvement training preferred.ยโขย ย ย ANCC recognized certification and quality, or safety related professional certification from an accredited institution preferred. ย ย
โขย ย ย Strong written, interpersonal, organizational, and problem-solving skills.
โขย ย ย Proficiency in presenting, communicating, and interacting effectively with staff at all levels of the organization.
โขย ย ย Ability to independently manage multiple projects with general supervision.
โขย ย ย Proficiency with Microsoft applications: Excel, Word, PowerPoint and PowerBI. Preferred proficiency with Epic.
โขย ย ย Understanding of data management including interpreting, comprehending, and summarizing statistical and medical data.
โขย ย ย Project management and collaboration skills required.
โขย ย ย Survey design skills preferred.
โขย ย ย Demonstrated experience with literature searches and synthesis of evidence.โขย ย ย Proficiency with the Standards for Quality Improvement Reporting Excellent (SQUIRE) framework and contribution of new knowledge to the field of Quality Improvement.
Lurie Children's will consider visa sponsorship of qualified candidates for the registered nurse role, subject to all applicable law as well as business and budgetary limitations.Education
Bachelor's Degree: Nursing (Required)Pay Range
$93,600.00-$154,440.00 SalaryAt Lurie Childrenโs, we are committed to competitive and fair compensation aligned with market rates and internal equity, reflecting individual contributions, experience, and expertise. The pay range for this job indicates minimum and maximum targets for the position. Ranges are regularly reviewed to stay aligned with market conditions.ย In addition to base salary, Lurie Childrenโs offer a comprehensive rewards package that may include differentials for some hourly employees, leadership incentivesย for select roles, health and retirement benefits, and wellbeing programs. For more details on other compensation, consult your recruiter or click the followingย link to learn more about our benefits.
Benefit Statement
For full time and part time employees who work 20 or more hours per week we offer a generous benefits package that includes:
Medical, dental and vision insurance
Employer paid group term life and disability
Employer contribution toward Health Savings Account
Flexible Spending Accounts
Paid Time Off (PTO), Paid Holidays and Paid Parental Leave
403(b) with a 5% employer match
Various voluntary benefits:
- Supplemental Life, AD&D and Disability
- Critical Illness, Accident and Hospital Indemnity coverage
- Tuition assistance
- Student loan servicing and support
- Adoption benefits
- Backup Childcare and Eldercare
- Employee Assistance Program, and other specialized behavioral health services and resources for employees and family members
- Discount on services at Lurie Childrenโs facilities
- Discount purchasing program
Thereโs a Place for You with Us
At Ann & Robert H. Lurie Childrenโs Hospital of Chicago and its affiliates (collectively โLurie Childrenโsโ), we embrace and celebrate diversity and equity in a serious way. We are committed to building a team with a variety of backgrounds, skills, and viewpoints โ recognizing that diverse identities strengthen our workplace and the care we can provide to the Chicago community and beyond. We treat everyone fairly, appreciate differences, and make meaningful connections that foster belonging and allyship.ย This is a place where you can be your best, so we can give our best to the patients and families who trust us with their care.ย ย
Lurie Childrenโs and its affiliates are equal employment opportunity employers.ย We value diversity and are committed to creating an inclusive environment for all employees. ย All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin, ancestry, age, disability, marital status, pregnancy, protected veteran status, order of protection status, protected genetic information, or any other characteristic protected by law.ย
For questions about how to request an accommodation please contact: [email protected]
AI Noticeย
Lurie Childrenโs utilizes certain AI-enabled features within our recruiting platform to support candidate engagement and assist recruiters in identifying and prioritizing applicants whose experience aligns with job requirements. All employment decisions are made by individuals.
It is a civil rights violation with respect to recruitment, hiring, promotion, or employment for an employer to use artificial intelligence that has the effect of subjecting employees to discrimination on the basis of protected classes under the Illinois Human Rights Act or to use zip codes as a proxy for protected classes.
For questions about the use of artificial intelligence in this process or any additional support, please contact: [email protected]
- HuddleMate - Answer every question in your next interview or meeting
- MView description๐ New York City, New Yorkโ Posted 10 days ago๐ New York City, New Yorkโ Posted 10d ago
Applied AI Engineer, Internal Systems
ABOUT MINERVA
Minerva builds AI for marketing leaders. We work together with marketers to automate and accelerate their workflows with AI agents. Our agents augment the end-to-end workflow of the marketer by automating analysis, campaign planning, activation, measurement and reporting.
Customers like the NBA, Ramp, Wander, Hard Rock Stadium Group and Luxury Presence use Minerva to develop a better understanding of their customers and introduce AI specifically built to understand the customer into their commercial organizations. Our campaigns outperform other tools because we built the entire stack: from identity to enrichment to data integration as well as agents to action and report on the analysis.
We've raised $20M from The General Partnership, 8VC, Lingotto, NBA Investments, Topology Ventures, Future Positive, Background Capital and many others. Our team brings together operators and investors from Citadel, Dentsu, Bridgewater, Meta Superintelligence, Growthloop, Amazon and Lazard, alongside engineers and researchers from Berkeley, MIT, Stanford and Cambridge.
OUR STACK
Agents: Claude across the company (in Slack, through the API, with skills and MCP), plus Mastra for the agents we build ourselves and Temporal for long-running work.
Code: Python and TypeScript, scheduled jobs and webhooks.
The systems your agents work across: Slack, Google Workspace, Notion, and the CRM, recruiting, HR, finance and compliance tools a growing company runs on.
THE ROLE
We build agents for marketers. This seat builds them for us.
Every company our size runs on work nobody sees. Someone copies a new hire's details into six tools. Someone remembers which contract renews next month. Someone answers the same security questionnaire for the fourth time. Most companies hire a coordinator for that work. We're hiring an engineer.
You're a forward-deployed engineer for Minerva itself. Other companies call this an AI operations engineer or an internal AI engineer. Your customers are every team here: operations, finance, people, recruiting, sales and the founders. You sit with them, find the work they'd most like to stop doing, and replace it with a system that runs without them and leaves an audit trail.
You report to our COO and work closely with engineering, which owns anything that touches production.
WHAT YOU'LL DO
Own the company's knowledge agent. One agent over our docs, Slack, calls and tickets, with Slack as the front end. It answers with sources, and people trust it.
Automate the processes that run the company. Hiring, onboarding and offboarding, access provisioning, vendor reviews, customer security questionnaires, contract renewals and billing. Start where the hours or the risk are highest.
Run the skill library. Every team gets Claude connected to the tools it uses and a set of skills, each with a named owner on that team, an eval and the right permissions. What one person figures out, everyone gets.
Own the source of truth. Decide where each kind of information lives, move it there and keep it findable by people and by agents. When an agent spots something out of date, it proposes the fix and a person approves it.
Build the plumbing under our operating dashboards: the metrics, controls and board reporting that today get stitched together by hand from five systems.
Put the guardrails in first. Least-privilege access, a human approval before any agent writes to a system of record, and audit trails that double as compliance evidence.
Sit with your users. Watch how a recruiter, a seller or our finance lead actually works, then automate the part they hate.
Measure adoption. Which systems get used, by whom and at what cost, including what we spend on models and which agents can touch what. Retire what nobody opens, and write the runbook for what stays.
WHAT YOU HAVE
You've shipped agents or automations that coworkers use every week, and you can show the usage: who stopped doing what, and how many hours came back.
Production Python or TypeScript, with LLMs wired into real APIs. You're comfortable with OAuth scopes, webhooks and scheduled jobs, and with the ways each of them fails.
You know how a company runs. You can talk to a recruiter, a controller and a security auditor in their own terms, and you fix the process before you automate it.
A controls instinct. Before you ship, you've decided who approves what and what happens when the agent is wrong.
You're current. You know what shipped in AI tooling this month, and you can show us your own setup.
You write clearly. People follow your runbooks without asking you.
You're in New York City or willing to relocate.
YOU MIGHT BE A FIT IF YOU AREโฆ
A founder or founding engineer who automated your own company's back office because someone had to.
A chief of staff or business operations lead who learned to build and stopped writing specs for engineers.
A solutions or forward deployed engineer who wants the whole company as your customer.
A GTM or internal tools engineer who automated a sales team and wants scope beyond the sales stack.
Or you don't fit any of these neatly, but you've automated your own job at least once. Apply.
NICE TO HAVES
You've rolled out Claude or another model platform to a whole company: access, permissions, usage and cost.
You've been through a SOC 2 or similar audit on the side that produces the evidence.
Hands-on time with the systems a startup runs on: HRIS, ATS, CRM, billing and spend tools.
WHAT THIS ISN'T
An IT helpdesk. You'll automate the tickets away, not answer them.
Product engineering. Our customer-facing agents and production infrastructure belong to the engineering team.
An AI strategy role. You ship systems people use. Nobody here needs a deck about transformation.
The owner of the work you automate. Our compliance lead still owns the security answers, and whoever runs sales ops owns the CRM. You build the systems that do the work for them.
WHAT SUCCESS LOOKS LIKE
First 90 days: the knowledge agent is live in Slack and used daily. A new hire gets set up in every tool in under an hour, and the access record writes itself. At least three workflows run without a person in the loop and are still in use four weeks later.
First 6 months: security questionnaires go out the same day without a founder writing them. Contract renewals, notice windows and price increases surface before they cost us money. Every team has a system it would fight to keep.
The number you own: hours of manual work retired each month, measured against a baseline you set in your first month.
COMPENSATION
$186,000โ$236,000 base salary, depending on experience. Meaningful equity. Medical, dental and vision.
HOW TO APPLY
Skip the cover letter. Show us one thing you built that other people used: a demo, a repo, or a few paragraphs on what the process looked like before, what you built, how many people used it and what broke. Applications without one won't be reviewed.
WHERE WE WORK
We work in person from our office at 300 Kent Avenue in Williamsburg, Brooklyn.
BENEFITS
Every full-time role includes equity; medical, dental and vision coverage; unlimited PTO; a monthly fitness stipend; and an annual company offsite. We'd rather pay people well than buy perks nobody uses.
PAY TRANSPARENCY
The salary range in this posting is our good-faith range for the role in New York City at the time of posting. Where an offer lands depends on the level and experience we see in the interview process.
APPLYING
Apply on this page. We don't take applications by email, and we don't accept unsolicited submissions from recruiting agencies. If you need an accommodation at any point in the process, write to [email protected].
WORK AUTHORIZATION
You'll need to be authorized to work in the United States. We consider visa sponsorship case by case, so tell us on the application if you'll need it.
EQUAL OPPORTUNITY
Minerva is an equal opportunity employer. We make hiring decisions without regard to race, color, religion, creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin, citizenship status, age, disability, marital status, veteran status or any other characteristic protected by federal, New York State or New York City law.
RECRUITMENT FRAUD
Our hiring runs through Ashby and @minerva.io email addresses. We will never ask you for money, bank details or other financial information during the process. If a message claiming to be from Minerva looks wrong, forward it to [email protected].
How to Find Visa Sponsorship Jobs
Visa sponsorship jobs are positions offered by employers who are willing to sponsor work visas for qualified candidates from other countries. These jobs allow skilled professionals to legally work in a country where they do not have permanent residency or citizenship yet. Visa sponsorship is in high demand because many companies face talent shortages locally and look internationally for expertise, especially in specialized fields like technology, healthcare, and engineering.
Finding visa sponsorship jobs can be challenging since not all listings clearly state sponsorship availability. JobBoardSearch.com simplifies this process by gathering 116 Visa Sponsorship jobs posted in the last 30 days from over 50 job boards into one searchable place. This saves time and helps you focus on opportunities that match your visa needs.
Common Roles and Job Titles
The visa sponsorship jobs currently available cover a broad range of roles, particularly in high-demand technical and specialist fields. Based on recent listings, here are some common job categories you can expect:
- Software Engineering and Development
Roles like Senior Machine Learning Engineer, Backend Infrastructure Engineer, Full Stack AI Engineer, and Senior Software Engineer in areas like security, distributed systems, and customer backend development are frequently listed. These positions typically require experience in building scalable software, AI applications, and secure infrastructure.
- Artificial Intelligence and Machine Learning
Positions such as Founding AI Engineer, Applied AI Engineer, and Member of Technical Staff specializing in AI agents reflect the strong demand for AI expertise. These roles focus on designing intelligent systems, developing AI algorithms, and integrating machine learning models into products.
- Healthcare and Medical Positions
Jobs like Physician Assistants and Health, Safety, and Environment (HSE) Officers indicate that healthcare and safety roles also offer visa sponsorship opportunities, especially in countries with shortages of qualified medical personnel.
- Engineering and Technical Lecturing
Structural engineering lecturers and senior technical engineers highlight the need for experts in academia and advanced engineering disciplines. These roles often require specialized knowledge and advanced degrees.
- Sales and Specialist Roles
Some niche roles such as Premium Watch Sales Specialist show that visa sponsorship extends beyond tech and healthcare to specialized sales and customer-facing positions.
Skills and Tools Employers Ask For
Visa sponsorship jobs tend to require strong technical expertise and relevant professional skills that justify the need to hire from outside the local talent pool. Employers look for candidates who can demonstrate proficiency in:
- Programming Languages and Frameworks
Commonly requested languages include Python, Java, C++, and JavaScript. Frameworks and tools related to AI and backend development like TensorFlow, PyTorch, Kubernetes, and cloud platforms (AWS, Azure, Google Cloud) are highly valued.
- AI and Machine Learning Techniques
Experience with deep learning, natural language processing, reinforcement learning, and data modeling is often essential for AI-focused roles.
- Software Architecture and Security
Knowledge of distributed systems, infrastructure security, anti-bot technologies, and scalable backend design is crucial for senior engineering positions.
- Healthcare Certifications and Compliance
For medical and HSE roles, relevant certifications, licenses, and compliance knowledge are mandatory. This includes understanding medical protocols, safety regulations, and local healthcare laws.
- Communication and Collaboration Tools
Proficiency in tools like Git, Jira, Confluence, and video conferencing software is expected to facilitate remote or hybrid teamwork.
Where These Jobs Are Located
Visa sponsorship roles appear across various industries and geographies, with many offering remote or hybrid work options, but some require on-site presence:
- Tech Industry
Most visa sponsorship jobs are in technology companies specializing in AI, software development, cybersecurity, and infrastructure engineering. These jobs are often located in tech hubs but remote work is increasingly common.
- Healthcare and Medical Facilities
Hospitals, clinics, and safety organizations recruit physician assistants, HSE officers, and other medical professionals. These roles are typically on-site due to the nature of the work.
- Academic Institutions
Universities and research institutions hire specialist lecturers and researchers, usually requiring physical presence on campus.
- Specialized Retail and Sales
Premium product sales roles exist in luxury retail sectors, often requiring in-person interaction with customers.
Many visa sponsorship jobs are concentrated in countries with strict immigration policies but strong demand for global talent, such as the United States, Australia, Canada, and parts of Europe.
How to Stand Out in Applications and Interviews
Securing a visa sponsorship job can be competitive, so itโs important to tailor your approach:
- Highlight Relevant Experience
Emphasize your expertise in the specific skills and technologies listed in the job description. Use concrete examples of your work and its impact.
- Showcase Flexibility and Adaptability
Employers sponsoring visas want reliable workers who can quickly integrate into new environments and teams. Demonstrate your ability to learn and collaborate across cultures.
- Prepare for Technical Assessments
Many technical roles require coding tests, system design interviews, or case studies. Practice these rigorously and be ready to explain your problem-solving process clearly.
- Understand Visa Processes
Familiarize yourself with the visa sponsorship requirements of the country and employer. Showing awareness of the process can reassure recruiters about your readiness.
- Communicate Your Motivation
Employers want to know why you are interested in the role and the country. Be clear about your career goals and how this opportunity fits into your plans.
Career Growth in Visa Sponsorship Jobs
Jobs offering visa sponsorship often lead to strong career trajectories because they are concentrated in growing, high-skill sectors. Hereโs what to expect:
- Opportunities for Advancement
Many roles such as senior engineers or founding AI engineers come with chances to take leadership positions, manage projects, or lead innovation initiatives.
- Skill Development
Working in cutting-edge industries like AI and cybersecurity allows you to continuously develop technical and professional skills that increase your market value.
- Global Networking
Being sponsored by an international employer connects you with diverse teams and global projects, broadening your professional network.
- Pathways to Permanent Residency
In many countries, visa sponsorship jobs can be a stepping stone to permanent residency or citizenship, providing long-term career stability.
Conclusion
Visa sponsorship jobs provide valuable opportunities for skilled professionals seeking to work abroad. These roles are concentrated in technology, healthcare, engineering, and specialized sales, requiring strong technical skills and relevant certifications. JobBoardSearch.com aggregates over 100 recent visa sponsorship jobs from 50+ job boards, helping you find the right opportunity faster. By tailoring your applications, preparing for interviews, and understanding industry demands, you can improve your chances of securing a sponsored position and advancing your international career.