Задачи:
• стратегическое развитие лаборатории, формирование и управление командой разработчиков и ML-инженеров;
• архитектурное и технологическое руководство, планирование и контроль выполнения проектов;
• взаимодействие с подразделениями компании и продвижение внедрения LLM-технологий.
Требования:
• опыт управления командами (от 3 человек);
• опыт внедрения LLM/RAG систем, глубокое понимание inference, RAG, prompt engineering;
• практический опыт Python, API, Docker, Linux;
• опыт взаимодействия с бизнес-заказчиками.
Условия:
• "белая" заработная плата от 234 000 до вычета: оклад + премия (ежемесячно), в течение года выплачиваются две дополнительные премии (на День связи и премия в конце года);
• официальное трудоустройство согласно ТК РФ, оплачиваемые отпуска и больничные листы;
• график работы в офисе 5/2 с 08:00 до 17:00, в пятницу сокращенный рабочий день;
• место работы: Казань, Николая Ершова 55в;
• оплачиваемый день отдыха в свой День Рождения;
• возможность получать бонусы по программе "Приведи друга" - от 10 000 рублей;
Location: New York, NY
Workplace: OnSite
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
ABOUT THE ROLE
*Open to candidates based near our NYC office or those willing to relocate.
Building general world models — systems that understand and simulate reality across tasks, modalities, and domains — requires closing the loop between learned representations and real-world action. We're looking for a Robotics Engineer to bring our video-native foundation models onto real hardware: deploying world-model-based policies on real robots and making them work in the real world.
You will work across the full stack of robot learning — from data collection and task design, to policy deployment, to physical evaluation. This is a hands-on, execution-oriented role at the intersection of foundation models, learned robot policies, and hardware. You'll bring deep robotics domain expertise and help us ship world-model-based robot policies end-to-end, with applications ranging from manipulation to mobile robotics.
WHAT YOU’LL DO
- Own the deployment loop for learned policies (VLAs, diffusion policies, World Action Models) on real robot arms: inference serving, action decoding, controller integration, latency budgets, and safety limits
- Diagnose real-world policy failures — determining whether the problem is data coverage, camera/proprioception mismatch, or execution — and partner with the research team to fix it at the right layer
- Design demonstration data collection protocols (task setup, camera placement, teleop conventions) that produce data our world models can actually learn from — working with our existing teleop and lab infrastructure
- Partner with research to run controlled experiments connecting world model representations, data composition, and fine-tuning recipes to physical success rates
- Define and run physical evaluation protocols so results are trustworthy and comparable across policy iterations
- Adapt our policy recipe to partner hardware and new embodiments
WHAT YOU’LL NEED
- You have personally deployed software on real robot hardware and iterated to make it work — whether learned policies, motion planning, classical control, or perception-driven manipulation. You can walk through a specific system you shipped, what broke on the physical robot that didn't break in sim or testing, and how you fixed it.
- Fluency in the software-to-robot interface: action/command spaces, control frequencies, observation pipelines, calibration, and how each affects real-world behavior
- Comfort working at the intersection of software and physical systems: you can reconfigure a robot workspace and trace a policy failure in the same afternoon
- Bonus: direct experience deploying learned policies (VLAs, diffusion policies) on real hardware; experience with video/multimodal generative models or world models
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Remote; New York, NY; San Francisco, CA
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
ABOUT THE ROLE
*Preferable to have someone near an office in NYC or San Francisco, but open to hiring anywhere in the US.
Runway's Developer Platform (RunwayDev) is the best place for developers to build with AI media models, with customers ranging from the world’s software companies, to enterprises and agencies, to vibe-coders. RunwayDev provides a single gateway to integrate with the best image, video, audio, and real-time models. Our vision is to be the developer platform behind all creative work: one place to call the best model for any creative task, with the best quality output.
RunwayDev serves not only Runway’s first-party frontier models (Gen-4.5, Aleph, Act-Two), but also provides day-zero access to a curated set of best-in-class third-party models, and intelligent routing that no aggregator can match.
We're hiring a Product Leader to own the Developer Platform business end-to-end. You'll own the API revenue number, create the platform strategy, prioritize the portfolio of bets, and serve as the single front door for this business across the company. You'll start deeply hands-on as the primary PM, and grow a strong team as the business scales.
WHAT YOU’LL DO
- Own the developer platform business. Drive the revenue goals for the developer platform (API ARR), along with the full funnel of developer signups, activation (first task), weekly active developer accounts, and developer NPS.
- Create and drive the strategy. Articulate and drive the portfolio of bets that make Runway the platform of choice for developers integrating media models. Co-develop strategy with leadership and partners, then make clear, ambitious calls on where to invest and what to cut.
- Win professional developers. Land and grow agencies, software tools, and platform partners. Partner with our internal deployment teams to ensure developers are successful with the platform.
- Ship, hands-on. Talk to developers every week, ship your own PRs and reference integrations, and partner tightly with engineering, design, DevRel, PMM, and partnerships. You'll be in the details daily and shipping regularly.
- Build the team. Start as the primary IC DRI and hire PMs underneath you as the business grows, raising the bar on outcome orientation as you scale.
WHAT YOU’LL NEED
- 7+ years in product management, preferably leading a developer-facing or platform/API product at meaningful scale. A track record of moving revenue and adoption metrics, not just shipping features.
- You thrive in an environment with rapid pace and a high accountability culture. You move very fast, make decisions with incomplete information, and instinctively gravitate towards shipping today, not writing docs for tomorrow.
- A GM mindset. You think in terms of the business, not just the roadmap. You're fluent in the economics of a usage-based / consumption API business, comfortable owning a P&L-style number, and you instinctively tie every bet to a hypothesis about how it moves the business.
- Deep developer-product craft. Hands-on experience with API and SDK design, developer onboarding and activation, docs and DevRel, and usage-based pricing and packaging. You know what a great developer experience feels like and you've personally driven the loop.
- Strong technical fluency and customer obsession. You can earn the trust of a discerning developer audience — talk credibly about latency, cost, reliability, and integration ergonomics. Experience with inference platforms, infrastructure, or AI media products is a plus.
- Excellent written and verbal communication. You can make a sharp, written argument and tell a compelling launch story. You confidently assess the state of the business, call out challenges and articulate your plans to solve them
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Stockholm
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We’re looking for an Engineering Manager to lead a group of highly experienced engineers. This is a hands-on leadership role where you’ll spend roughly half your time on technical contribution and half on people management, depending on the need. You’ll work closely with the team to set direction, remove blockers, and foster a strong engineering culture as they tackle complex systems challenges in distributed computing, large-scale data handling, and performance optimization.
WHO YOU ARE:
We think you are an experienced engineering leader who thrives close to the work and enjoys building alongside their team when needed. You earn trust through technical depth, communicate with clarity, and help great engineers move fast and make sound decisions. You thrive in a fast paced environment, you are pragmatic, calm under pressure, and focused on impact.
REQUIREMENTS:
- At least 10 years of industry experience, including 3 years experience in a leadership role
- Experience building high-performance distributed systems at a large scale
- Strong background in cloud infrastructure
- Strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.)
- Proficient in systems-level languages such as Rust, C, C++, or Java
Location: New York
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We're looking for a Growth Engineer to own the technical foundation of Modal's marketing and developer-facing web surfaces: the marketing site, docs site, growth landing pages, high-profile microsites, forms, analytics instrumentation, and the integrations that help users discover, understand, and get started with Modal.
This is a frontend-heavy role for someone with strong product taste, web engineering craft, and a business-owner mindset. You'll partner with Product Engineering, Design, Data, and Growth to ship polished, measurable web experiences from high-profile projects like the GPU Glossary https://modal.com/gpu-glossary and LLM Engine Advisor https://modal.com/llm-almanac/advisor to internal tooling that helps teams publish content faster.
When this role is going well, Modal launches new pages, docs experiences, campaigns, and experiments quickly without sacrificing performance, craft, or measurement.
IN THIS ROLE YOU WILL:
- Own and evolve Modal's marketing site, docs site, and technical web experiences as high-quality engineering systems, not static content.
- Build bespoke interactive projects with engineers, turning deep technical work into useful web experiences for developers and agents.
- Own Instrument all public-facing content, all the way from human-facing marketing pages to agent-targeted, self-improving documentation.
- Improve internal publishing flows so more teams can ship quality content quickly while keeping the site maintainable.
REQUIREMENTS:
- Evidence of building and shipping modern web applications end-to-end. We care more about what you've built than years of experience.
- Experience with agentic development flows where agents consume marketing content and docs to help developers build on Modal.
- You can build polished, responsive web experiences without needing every detail specified.
- Business-owner mindset with strong data intuition: you think about conversion, activation, developer trust, speed of launch, and quality of measurement and tradeoff inherent to each.
- Excited about developer-facing AI infrastructure and building web experiences that feel credible to engineers.
- Ability to work in-person in our NYC office.
NICE TO HAVE:
- Deep knowledge of SEO, AEO, structured content, or agentic discoverability.
- Experience with marketing sites, docs sites, or product-led-growth surfaces at a dev tools / infra / AI company.
- Familiarity with our stack: Svelte/SvelteKit, TypeScript, Tailwind, Vite, MDX/SVX content systems, headless CMS (Sanity), Playwright/Vitest.
- Familiarity with our integrations: Segment, Snowflake, PostHog, Sentry, Algolia/DocSearch, Fillout, Pylon, Ashby.
- Experience designing growth experiments, A/B tests, or funnel instrumentation.
- A portfolio of polished sites, docs systems, interactive demos, or growth experiments.
Location: Remote, Global
Workplace: Remote
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
Compute https://supabase.com/compute is our newly launched microVM architecture for running agentic workloads, operating alongside our existing Edge Functions https://supabase.com/docs/guides/functions service for server-side TypeScript functions distributed globally at the edge.
We want developers to be able to build truly global applications by distributing both compute and data globally. Infrastructure concerns like regions, cold starts, CPU and memory provisioning should fade into the background so developers can focus on iterating on business logic, and fast, flexible runtimes a growing range of agent-driven code.
We are looking for experienced and passionate engineers to help us go further in this vision.
WHAT YOU’LL OWN
- Help build & architect the Supabase Compute platform, built on Firecracker microVMs.
- Implementing monitoring, alerting, and OpenTelemetry tracing across the runtime, then using that visibility to drive optimizations that improve latency and reliability of the service.
- Working closely with the Firecracker, Deno, and other open-source teams, contributing to upstream and relaying our users' requirements.
- Participating in an on-call rotation to keep Compute healthy in production.
- Help manage and improve features like scheduled functions, background tasks, WebSockets streaming, ephemeral file storage, and custom routing.
- Integrating Compute more tightly with the rest of the Supabase stack — Auth, Postgres, Storage, and Realtime.
- Expanding the Compute runtime to support more use cases (AI inference, MCP servers, hosting simple websites, URL shorteners).
- Improving the DX of developing and debugging Compute locally through the Supabase CLI, including DevTools integration, logging, and production parity.
WHAT YOU’LL BRING
- At least 5 years of backend or systems engineering experience, with strong fluency in Rust and TypeScript.
- Experience with Firecracker, V8 Isolates, Deno, and related runtime isolation technologies .
- Experience operating infrastructure at scale — Kubernetes, AWS (EC2/Lambda/MicroVM), Cloudflare Workers, Redis, or comparable systems.
- A strong vision for how compute and data can be pushed to the edge.
- Bonus: experience building developer-facing CLIs or front-end tooling that sits on top of an infrastructure product.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: New York; San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We're looking for an experienced recruiter to help support our scaling sales, marketing and revenue operations teams. You'll work closely with hiring managers and Sales leadership to build out the team, with a focus on Account Executives. You'll own ambitious hiring goals and get deep on our product and the AI infrastructure space, so you can speak credibly to candidates about what we build and why it matters.
RESPONSIBILITIES
- Full-cycle recruiting: Own Sales hiring goals and process, from role kickoff through offer acceptance
- Sourcing: Work with hiring managers to define what "excellent" looks like for each role, then build pipelines through targeted sourcing and creative outreach
- Candidate experience: Partner closely with recruiting coordination on delivering an exceptional candidate experience, from first reach out to offer close
- Process improvement: Refine and scale our recruiting process to move faster while keeping a high bar
REQUIREMENTS
- 3+ years of full-cycle recruiting experience, ideally at a fast-growing startup with big headcount goals
- Proven track record of high-volume sales hiring, especially Account Executives
- Experience hiring technical sellers, ideally for developer tools, infrastructure, or AI
- Ownership mindset: you take responsibility for a team's hiring goals and fix what's slowing you down
- Strong organization, with the ability to run multiple searches at once
- Clear, direct written and verbal communication
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: San Francisco; Remote; Toronto; New York; Montreal
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As a Site Reliability Engineer at Baseten, you'll define and codify the gold standards of day 2 operations for our ML infrastructure platform. You'll envision and build robust systems, processes, automations, and observability tooling that keep our platform reliable at scale — and that empower the broader organization to operate confidently.
You'll work closely with engineering, forward-deployed and product teams: learning from recurring failure patterns, turning tribal knowledge into automated mitigations, and raising the operational floor for the entire company.
EXAMPLE INITIATIVES
You'll work on projects like these as part of the SRE team:
- Improve Baseten SRE Practices, by instrumenting SLOs and SLIs, improving alerting and observability for all services.
- Building AI-assisted tooling for incident triage and response.
RESPONSIBILITIES
- Own the reliability of Baseten's multi-cloud Kubernetes infrastructure, including incident response, post-mortems, and remediation tracking.
- Build and maintain observability infrastructure — metrics, logging, dashboards, and alerting — as code.
- Author, validate, and improve runbooks for recurring failure patterns, ensuring they're structured for low-context, safe execution.
- Identify high-frequency failure patterns and convert them into automated mitigations or self-healing automations.
- Diagnose and resolve runtime issues related to latency, memory behavior, GPU utilization, concurrency, and model lifecycle management.
- Define and instrument SLOs and SLIs across customer workloads and internal services.
- Navigate ambiguity, make principled tradeoffs, and avoid unnecessary complexity in the systems you build and the processes you define.
REQUIREMENTS
- Extensive hands-on experience with Kubernetes (multi-cloud experience across EKS, GKE, or similar is a strong plus).
- Experience in building and maintaining scalable infrastructure.
- Strong foundation in observability tooling: metrics (VictoriaMetrics, Prometheus), logging (Loki, ELK), dashboards (Grafana), and alerting pipelines. Observability-as-code experience is a plus.
- Experience with infrastructure-as-code (Terraform, Helm) and GitOps workflows (Flux CD, ArgoCD).
- Experience writing and improving runbooks, leading incident response, and doing post-mortem analysis.
- Comfort working at the intersection of engineering and operations — you write code, but you also think deeply about process, escalation paths, and operational leverage.
- Familiarity with incident management platforms (incident.io http://incident.io or similar) is a plus.
- No prior ML experience required, but curiosity about how ML models are deployed and served at scale will serve you well.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: United Kingdom; Brazil; Ireland; Peru; Costa Rica; Latvia; Argentina; Romania; Cyprus; Portugal; Slovenia; Lithuania; South Africa; Czech Republic; Panama; Estonia; Canada; Hungary; Mexico; Poland; Spain; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
Before you apply, we encourage you to explore our culture page https://www.kraken.com/culture to understand what drives us and how we work.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
Kraken is building a dedicated AI Compute and Infrastructure team to power the next generation of model training, inference, evaluation, and experimentation across the exchange. This team sits within engineering leadership and owns the infrastructure layer that lets Kraken run AI workloads with control, speed, reliability, and cost discipline.
The team is responsible for GPU and accelerator infrastructure, cluster operations, scheduling, model serving, observability, capacity planning, and cost-efficient compute at scale. This is the backbone that allows Kraken to train, serve, evaluate, and iterate on AI systems in-house where it matters for privacy, latency, reliability, cost, or product differentiation.
You will join a small, senior, high-impact team working directly with AI/ML researchers, platform engineers, security teams, and product teams. The mandate is simple: make Kraken's AI ambitions real by building compute infrastructure that is fast, dependable, efficient, and production-grade.
THE OPPORTUNITY
- Own and operate GPU and accelerator clusters used for training, inference, evaluation, and experimentation, including drivers, runtimes, kernels, device plugins, node configuration, scheduling primitives, and workload isolation.
- Design infrastructure that enables Kraken teams to run models locally on GPUs where it is strategically and economically preferable, reducing unnecessary dependency on external providers and containing compute costs.
- Build and improve scheduling, orchestration, placement, quota management, and utilization systems across heterogeneous accelerator environments.
- Optimize inference pipelines for latency, throughput, reliability, memory efficiency, and cost using frameworks such as vLLM, Triton Inference Server, TensorRT, or equivalent serving stacks.
- Partner with ML engineers and researchers to remove bottlenecks in training, evaluation, batch inference, online inference, deployment, and production debugging workflows.
- Build observability for GPU utilization, memory pressure, queue depth, saturation, token throughput, request latency, failed workloads, capacity pressure, and spend.
- Drive reliability, incident response, alerting, runbooks, and post-incident improvements for always-on AI compute infrastructure.
- Evaluate and integrate new hardware, cloud instance families, specialized accelerators, runtimes, schedulers, and serving frameworks as the AI infrastructure landscape evolves.
- Build tooling that makes GPU usage visible, accountable, and easier for internal teams to consume without needing to become infrastructure experts.
- Contribute to long-term architecture decisions that balance performance, cost efficiency, scalability, operational simplicity, and production safety.
WHAT YOU BRING
- 5+ years of infrastructure engineering experience, with significant time spent on GPU compute, ML infrastructure, distributed systems, high-performance computing, or large-scale production platforms.
- Hands-on experience operating GPU clusters or accelerator-backed infrastructure in production or production-like environments, including scheduling, orchestration, utilization monitoring, and cost optimization.
- Strong systems engineering fundamentals across Linux, networking, storage, containers, Kubernetes, distributed runtimes, and production debugging.
- Experience with ML serving frameworks such as vLLM, Triton Inference Server, TensorRT, TorchServe, KServe, Ray Serve, or equivalent systems.
- Proficiency in Python for infrastructure automation, tooling, debugging, integration, and operational workflows.
- Practical understanding of performance tradeoffs across batching, concurrency, memory usage, GPU utilization, model size, latency, throughput, availability, and cost.
- Track record of optimizing compute costs while maintaining clear performance, reliability, and availability expectations.
- Experience building observable systems with useful metrics, logs, traces, dashboards, alerts, and incident workflows.
- Comfortable working in high-stakes, always-on environments where uptime, throughput, correctness, and operational discipline are critical.
- Clear communicator who can translate infrastructure tradeoffs for researchers, product teams, platform engineers, security stakeholders, and engineering leadership.
NICE TO HAVES
- Experience at a frontier AI lab, hyperscaler, high-frequency trading firm, research platform, or high-scale ML organization.
- Familiarity with custom silicon or specialized accelerators such as TPUs, AWS Trainium, Gaudi, or similar platforms.
- Background in capacity planning, procurement input, reserved capacity strategy, cloud accelerator economics, or GPU fleet cost management.
- Experience with distributed training frameworks such as DeepSpeed, Megatron-LM, FSDP, Ray, or equivalent systems.
- Experience debugging CUDA, NCCL, kernel, driver, runtime, memory, networking, or low-level performance issues.
- Experience with Rust, C++, Go, CUDA, or other systems languages used for performance-critical infrastructure.
- Crypto, financial services, trading infrastructure, or security-sensitive production infrastructure experience.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: New York
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We’re looking for an Infrastructure Security Engineer to design and secure the core systems that power our platform. This role focuses on building security directly into our infrastructure—from container isolation and orchestration to identity and secrets management in a multi-tenant, cloud-native environment.
You’ll work closely with engineering teams to define secure primitives and ensure our platform is resilient, scalable, and trustworthy by design.
This is a hands-on, deeply technical role focused on real systems, not compliance or policy.
WHAT YOU'LL DO:
Platform & Runtime Security
- Design and improve isolation mechanisms for multi-tenant workloads (containers, sandboxing, execution environments)
- Strengthen boundaries between customers, workloads, and internal systems
- Identify and mitigate risks in distributed, dynamic compute environments
Container & Orchestration Security
- Secure and harden containerized workloads and orchestration systems (e.g., Kubernetes or similar)
- Improve workload isolation, scheduling boundaries, and runtime protections
- Evaluate tradeoffs in multi-tenant execution models
Identity & Access Management
- Design and improve authentication and authorization systems across services
- Implement strong service-to-service identity and least-privilege access patterns
- Improve access controls across infrastructure and internal systems
Secrets & Key Management
- Build and maintain systems for securely managing secrets, tokens, and credentials
- Improve rotation, auditing, and access controls
- Reduce secret sprawl and integrate secure patterns into developer workflows
Cloud & Infrastructure Security
- Secure cloud environments across providers (AWS, GCP, etc.) with a focus on consistency and portability
- Improve network boundaries, service segmentation, and access controls
- Embed security into infrastructure-as-code and deployment systems
Engineering Partnership
- Work closely with product and infrastructure teams to design secure systems from the ground up
- Review architecture and code for security risks and provide actionable guidance
- Identify patterns in risks and drive cross-cutting improvements
REQUIREMENTS:
Core Experience
- Experience securing cloud-native infrastructure and distributed systems in production
- Background in infrastructure, backend, or security engineering
- Experience working in multi-tenant or high-scale environments
Technical Depth
- Strong understanding of containerization and orchestration systems (e.g., Kubernetes or similar)
- Experience designing or securing isolation mechanisms in multi-tenant systems
- Solid understanding of authentication, authorization, and service identity models
- Experience with secrets management and secure handling of credentials
- Strong foundation in networking concepts (segmentation, service communication, access boundaries)
Mindset
- Builder mentality, you design and implement, not just review
- Pragmatic approach to security in fast-moving environments
- Comfortable working deeply with engineers and influencing system design
PREFERRED QUALIFICATIONS:
- Experience with sandboxing or runtime isolation technologies (e.g., gVisor, Firecracker, seccomp, or similar)
- Familiarity with kernel-level or low-level isolation primitives
- Experience securing Kubernetes or similar orchestration systems in production
- Background in developer infrastructure, compute platforms, or multi-tenant systems
Location: New York; San Francisco
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We are looking for strong engineers with experience in making ML systems performant at scale. If you are interested in contributing to open-source projects and Modal’s container runtime to push language and diffusion models towards higher throughput and lower latency, we’d love to hear from you!
REQUIREMENTS:
- 5+ years of experience writing high-quality, high-performance code.
- Experience working with torch, high-level ML frameworks, and inference engines (vLLM or TensorRT).
- Familiarity with Nvidia GPU architecture and CUDA.
- Experience with ML performance engineering (tell us a story about boosting GPU performance — debugging SM occupancy issues, rewriting an algorithm to be compute-bound, eliminating host overhead, etc).
- Nice-to-have: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc).
Location: San Francisco; Remote; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We are seeking an experienced and proactive Security Engineer to help us build, maintain, and continuously improve the security posture of our rapidly growing ML infrastructure platform. As one of the first dedicated security hires at Baseten, you will work cross-functionally with engineering and operations teams to ensure we’re meeting the highest standards of confidentiality, integrity, and availability. You’ll have an opportunity to shape our security strategy and best practices from the ground up, influencing the way our platform handles sensitive data for both internal and external stakeholders.
RESPONSIBILITIES
- Security architecture and design: Collaborate with engineering teams to design and implement secure systems and infrastructure, including cloud (AWS/GCP) environments and container orchestration platforms.
- Vulnerability management: Lead proactive vulnerability assessments, pen tests, and remediation efforts to ensure our products and infrastructure remain secure.
- Incident response: Develop and maintain incident response processes, including detection, analysis, containment, eradication, and post-incident reviews.
- Identity and access management (IAM): Oversee IAM strategies and tools to ensure the right people have the right level of access to our systems and data.
- Security compliance and audits: Work closely with operations to ensure compliance with relevant standards (e.g., SOC 2, ISO 27001) and assist with audits, policy creation, and risk assessments.
- Employee security training: Develop and deliver security training programs and documentation to keep our team informed about best practices, social engineering threats, and secure coding standards.
- DevSecOps integration: Partner with DevOps teams to embed security into the CI/CD pipeline, automating security checks and fostering a culture of “security as code.”
REQUIREMENTS
- 3+ years of experience in a Security Engineer or similar security-focused role, preferably in a fast-paced startup environment.
- Strong knowledge of cloud security (AWS/GCP), container security, and infrastructure-as-code best practices.
- Hands-on experience with security tooling (SIEM, IDS/IPS, vulnerability scanners) and scripting languages to automate security tasks.
- Familiarity with compliance frameworks such as SOC 2, ISO 27001, and GDPR, and the ability to translate requirements into actionable security controls.
- Incident response expertise, including forensic analysis and root cause investigation.
- Excellent communication skills and the ability to collaborate with cross-functional teams to promote a security-first culture.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: United States; Canada
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a Lead Data Scientist on our Analytics and Data Insights team, you'll tackle problems that don't have textbook answers yet; shaping go-to-market strategy for technology that's still being invented, designing the experiments that prove or kill our biggest bets, and helping enterprises understand what foundational AI actually means for their bottom line. You'll own the full analytical lifecycle, from framing the right questions and building the models, to leading a team that delivers answers leadership can act on.
As a Lead Data Scientist, you will:
- Drive the mission forward.
- Own the science: design and lead experimentation programs including A/B tests, multi-armed bandits, causal inference studies, that directly map to product and go-to-market decisions.
- Build predictive models that matter: develop and deploy models for forecasting, segmentation, propensity scoring, and opportunity sizing across Cohere's core business lines.
- Lead and grow a team: manage a team of analysts and data scientists. Set the technical bar, mentor aggressively, and create an environment where exceptional people do their best work.
- Act like an owner: no waiting around. You'll define analytical priorities, allocate resources, and push initiatives from question to production.
- Shape strategy: partner across product, research, sales, and finance to define how Cohere grows. Your team's work will get built into products and implemented into strategy.
You may be a good fit, if you have:
- Strong command of SQL, Python, and Git, alongside deep expertise in statistical inference, experimental design, and predictive modeling
- A proven ability to turn ambiguous business questions into rigorous analytical problems, with clear and compelling recommendations to match
- Experience leading analytics or data science teams, with a track record of making smart people faster
- Familiarity with modern data stack tools such as BigQuery, dbt, Looker, or Airflow (nice to have, not essential)
- Genuine excitement about AI - you follow the research, have opinions, and enjoy being in the weeds
- Comfort operating in ambiguity, managing complex multi-workstream roadmaps, and distilling insights into a concise, actionable narrative
- A leadership style grounded in empathy as much as in data
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
We are looking for an engineer with strong experience in machine learning and solid foundations in math and computer science to join our growing Post-Training team at Baseten.
THE ROLE
Custom models are instrumental to the success of Baseten customers. By inference volume, the overwhelming majority of traffic at Baseten is to and from models that have been post-trained in some way, whether that be through reinforcement learning, supervised finetuning, a recent technique from the literature, or an in-house research technique from Baseten. The Post-Training team is responsible for the success of our customers’ post-trained models, and we employ a wide array of techniques to produce models that are more efficient and higher quality than even the biggest closed source models for the customer’s specific needs.
Your role as a research engineer is to build the in-house tooling to support all of this. We care about training a wide spectrum of different model architectures with a variety of techniques efficiently and at scale. At times this involves zooming deep into a particular technical topic, but more often it involves working across the stack as a whole - systems-level concepts like Kubernetes, cgroups, storage systems, and networking topologies, as well as PyTorch distributed tensor computation, and GPU kernels.
The Manifesto: https://labs.baseten.co/manifesto
RECENT RESEARCH
- Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/
- Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/
- Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/
We don’t have a rigid set of skills, but here’s some of what we’re looking for:
- A deep understanding of modern ML techniques and tools for training transformers
- Advanced experience in a tensor/array computation library like PyTorch, TensorFlow, Jax, or similar
- A detailed understanding of transformer training parallelism strategies like data parallelism, sharded data parallelism, tensor parallelism, pipeline parallelism, context parallelism
- The experience and knowledge to profile and improve the performance of a distributed GPU program in PyTorch or a similar library
- The ability to perform roofline analysis on a transformer training setup
- A willingness to dive into messy problems, work with researchers, derive specifications by asking important questions, and execute
- Familiarity with HPC and distributed computing platforms like Slurm, Ray, Kubernetes, and Dask
- Familiarity with cluster networking technology like Infiniband, RoCE, GPUDirect
- Solid fundamentals in operating systems concepts like processes, files, kernel drivers, containerization, and networking protocols
- A sense of creativity and willingness to ask difficult questions about our approach, assumptions, and tooling choices
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
WHO WE ARE
Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, healthcare, and beyond. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost.
That makes this a consultative sale. You'll spend as much time helping a VP of Engineering pressure-test their AI strategy as you will selling against an alternative, mapping use cases, framing build-vs-buy, and giving clear recommendations grounded in what you've seen work at the frontier. Then you'll do the enterprise work: multithreading across a buying committee, navigating security and procurement, and turning a first workload into an eight-figure relationship.
You'll work alongside our founders, forward-deployed engineers, and GTM leadership, in a seat where the playbook is still being written.
RESPONSIBILITIES
- Own a revenue target end to end, from prospecting and outbounding through closing Tier 1 accounts in your verticals
- Act as a strategic advisor on AI adoption: identify use cases, shape architecture decisions, and lead with clear, opinionated recommendations
- Multithread across large organizations, from the engineers running evals to the executives funding the program to security, legal, and procurement
- Win lighthouse customers that become references for their entire industry
- Partner with forward-deployed engineering on technical evaluations, POCs, and architecture reviews
- Feed signal back to product and engineering. What enterprises need next is a roadmap input we don't get anywhere else
REQUIREMENTS
- 8+ years of enterprise B2B sales experience in technology, ideally infrastructure, API/platform, or developer tooling
- A track record of closing seven- and eight-figure deals by navigating multi-stakeholder buying committees and long, complex cycles
- Demonstrated ability to run a consultative sale. You've helped customers define a strategy, not just evaluate a product
- Strong technical acumen: you can hold your own on model serving, GPU infrastructure, latency, and API architecture
- Experience selling into large digital natives or regulated industries (financial services, healthcare/life sciences, insurance, government)
- Excellent communication and comfort with high autonomy in a fast-moving environment
NICE TO HAVE
- Direct experience selling AI/ML infrastructure, cloud compute, or model deployment platforms
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
AI Native is our segment for companies whose core product is AI, from their first model in production through serious scale. You'll be the first person at Baseten to reach many of these founders, and you'll win them early.
This is a high-velocity, high-intensity seat. You're running many early-stage opportunities at once, moving fast with founders who move fast, and going deep enough technically to be useful on day one. If you want a front-row seat to the frontier of AI and the ambition to grow into our largest accounts, this is the seat.
RESPONSIBILITIES
- Source, close, and grow new business with early-stage AI companies. You own pipeline generation, not just what's handed to you
- Run fast, technical sales cycles with founders and early engineering teams, from first call to first production workload
- Prioritize ruthlessly across a high volume of opportunities and drive each one forward without dropping the thread
- Pull in applied research and engineering when a deal needs depth, and keep everyone moving on your timeline
- Bring the field back to product. You see what early AI teams need before the rest of the market does
REQUIREMENTS
- 2+ years of closing sales experience in a SaaS or infrastructure business, with a record of closing
- Genuine curiosity about open-source models and AI infrastructure. You follow model releases and can hold a real conversation with engineers
- Strong prioritization and project management instincts: you know which deal needs you today and you keep the rest alive
- Comfortable selling to founders and technical buyers who expect substance, not a pitch
- Thrives on intensity, ambiguity, and a fast-paced early-stage environment
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We’re hiring a Data Engineer to build and scale Baseten’s internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw product and business data into reliable datasets that power decision-making.
You’ll design the data models, pipelines, and analytics infrastructure that enable teams across Product, Engineering, Finance, Marketing, and Sales to understand usage and performance. This includes working with AI inference, infrastructure, and observability data to generate insights about the product, business operations and platform economics.
You’ll partner closely with stakeholders to build robust, scalable pipelines, define company-wide metrics that inform strategy and planning.
RESPONSIBILITIES
- Design and maintain core data models and semantic layers
- Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks
- Analyze inference and infrastructure telemetry, including data from OpenTelemetry, Grafana, and other observability tools
- Define and maintain company-wide metrics across product usage, performance, and customer lifecycle
- Enable self-service analytics through agents and tools, with well-structured semantic layers and context
- Ensure data reliability and quality through testing, documentation, and governance
PREFERRED QUALIFICATIONS
- Understanding of inference metrics such as latency, throughput, token usage, and model performance
- Experience supporting B2B SaaS and/or consumption-based platforms
- Application of forecasting and predictive modeling (e.g., ARIMA, Prophet) to business processes
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
This role sits at the frontier of our research agenda. You will pursue open problems at the intersection of post-training methodology and performant inference, and then collaborate with research engineering to translate findings into production systems.
A meaningful portion of your time will be dedicated to research that deepens our understanding of how models learn, alignment, and architectural efficiency — questions that may not have immediate product application. The remainder will be directed toward research that solves concrete problems for Baseten's platform and customers, who are the fastest growing AI companies in the world like Cursor, Lovable, and Notion.
We are looking for someone with sharp research taste and genuine creative instinct for problem selection. Someone who can identify questions that matter, design clean experiments to answer them, and push the state of the art. The environment here is not theoretical, but rather research that can be validated with eager customers who are serving billions of tokens a second.
The Manifesto: https://labs.baseten.co/manifesto
RECENT RESEARCH
- Towards infinite context windows: neural KV cache compaction https://www.baseten.co/research/towards-infinite-context-windows-neural-kv-cache-compaction/
- Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/
- Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/
- Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/
RESPONSIBILITIES
- Define and pursue a research agenda spanning both foundational and applied work, with the applied component connected to Baseten's platform and customer needs.
- Design and execute rigorous experiments, frequently at meaningful scale (multi-node, trillion parameter models).
- Work with customers to translate domain-specific requirements into research problems, where relevant to your agenda.
- Publish at top venues (NeurIPS, ICML, ICLR) and establish Baseten's research presence.
- Collaborate with model performance and training infrastructure teams to bridge research findings and inference production systems.
- Mentor junior researchers and shape the technical direction of the research organization as it grows.
PREFERRED QUALIFICATIONS
- Master’s or PhD research depth in machine learning, with first-author publications at top venues
- Demonstrated ability to move from theory through implementation to empirical results — not exclusively theoretical or exclusively engineering work
- Judgment about problem selection, the ability to distinguish research that advances a metric from research that changes how systems are built
- Willingness to operate in a startup environment where the majority of research informs product decisions, with timelines measured in months rather than years
- Background spanning multiple research areas (e.g., both interpretability and RL, or both systems and training methodology)
- Track record of open-source contributions or community building in ML research
OUR VIEW ON TALENT
Many of the labs that exist today run a credentialist talent model. Concentrate the most already-legible researchers, and assume the concentration compounds. The best researchers in this field are very often not yet legible. Research engineers who have spent years inside a production stack and developed insights no PhD program teaches; PhDs working on the wrong-shaped problem at the right-shaped lab; operators who have been close to real systems long enough to see things credentialed researchers have never had to see. If you don’t have the traditional qualifications and are doing exceptional work, we’d love to chat.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
УдалённоseniorRemote; New York, NY; San Francisco, CA
290 000 – 360 000 $
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