{"id":715523,"url":"https://alion.io/job/priorlabs-ml-engineer-infrastructure","title":"ML Engineer, Infrastructure","company":{"id":686123,"name":"Prior Labs","domain":"priorlabs.ai","url":"https://alion.io/company/priorlabs","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":88,"open_postings":19,"ghost_share":0,"stale_share":0.474,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berlin, Germany","Freiburg im Breisgau, Germany","New York, United States"],"countries":["DE","US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude Code","optional":false},{"name":"CUDA","optional":false},{"name":"Cursor","optional":false},{"name":"GCP","optional":false},{"name":"HPC","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SLURM","optional":false},{"name":"Triton","optional":false},{"name":"Docker","optional":true},{"name":"GitHub","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-08-04T07:59:09Z","employer_posted_date":"2026-08-04","last_verified_at":"2026-10-30T02:07:08Z","board_verified":true,"closed_at":null,"days_open":86,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":85},"description":"Who we are\nFoundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched, until now. What LLMs did for language, we're doing for tables.\nWe pioneered tabular foundation models: TabPFN v2 was a Nature cover story, has passed 3.5M+ downloads and 7,500+ GitHub stars, and runs in production from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi. The hardest problems - millions of rows, real-time inference, entirely new modalities - are still open, and no one else is working on them at this level.\nWe're a small, highly selective team of 40+ with backgrounds from Google, DeepMind, Meta, Apple, Amazon, Jane Street, and CERN, led by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, and advised by Bernhard Schölkopf and Turing Award winner Yann LeCun.\nIn July 2026, less than 18 months after our €9M pre-seed, we joined SAP as an independent frontier AI lab - same team, mission, and open-weights models, now backed by more than €1 billion over four years.\nAbout the Role\nWe spend tens of millions per year on GPU compute to train tabular foundation models. That's not a target, it's what we're running today, and it's growing. The person who owns this infrastructure makes decisions worth millions of dollars: cluster architecture, scheduling efficiency, provider strategy, hardware selection. A wrong call costs six figures.\nToday we run Slurm on GCP across multiple clusters. We're scaling to multi-cluster, multi-provider infrastructure and evaluating new hardware generations as they come online. You own the full stack, from cluster operations and cost optimization to distributed training performance and the tooling layer that keeps researchers moving fast. You work directly with the research team and understand what they're doing well enough to make infrastructure decisions that actually help them. And this isn't a pure support role. We operate an open environment. If you've got the next SOTA tabular architecture up your sleeve, go ahead and train it.\nWhat you'll work on:\nOwn and evolve multi-cluster GPU infrastructure. Slurm on GCP today, multi-provider and new hardware tomorrow. Architecture, scheduling, reliability, cost optimization\n\nDrive GPU utilization and training throughput: profiling, memory optimization, communication bottlenecks, systems-level debugging of distributed training across large runs\n\nArchitect the next generation of our infrastructure: multi-cluster orchestration, new GPU generations, provider diversification, capacity planning against growing compute demands\n\nBuild the developer productivity layer: CI pipelines, experiment tracking, model registry, data processing, and internal tooling that keeps research iteration speed high\n\nOwn the compute budget. You understand cost per FLOP across providers and hardware, and you hate wasted compute\n\nTech stack: Slurm, GCP, Docker, wandb, GitHub Actions, uv, PyTorch, Triton\nYou may be a good fit if you have:\n3+ years building and operating production GPU infrastructure or distributed training systems at scale. At a major AI lab, a well-funded ML startup, or an HPC environment\n\nDeep hands-on experience with Slurm and cluster management. You've debugged scheduling failures, optimized utilization across multi-tenant GPU workloads, and operated infrastructure where downtime has real cost\n\nExpert-level systems thinking: memory bandwidth, GPU profiling. You reason about hardware, not configs\n\nStrong Python and genuine fluency with PyTorch internals. Enough to profile a training run and tell whether the bottleneck is data loading, communication, or compute\n\nTrack record of making infrastructure decisions that measurably improved training throughput or cost efficiency\n\nStrong AI tooling skills. You use Claude Code, Cursor, or similar fluently to move fast without sacrificing quality\n\nBonus:\nExperience operating at tens-of-millions-scale GPU spend\n\nMulti-cloud or hybrid HPC/cloud infrastructure experience\n\nTriton, CUDA, or custom kernel experience\n\nExperience scaling from single cluster to multi-cluster orchestration\n\nBackground building experiment tracking, model registry, or ML pipeline tooling\n\nLife at Prior Labs\nYou'll work alongside researchers and builders who hold themselves to a very high bar - in the quality of their work and in how they work with each other. We move fast and still take the time to do things right.\nOur teams are based in Berlin, Freiburg, and New York - when you're working on something as hard as TabPFN, being in the same room matters. But great people come from everywhere, and in exceptional cases we're open to remote, which usually means frequent travel to one of our offices. Wherever you're based, the whole company comes together regularly for offsites to build and celebrate together.\nOur Commitments\nThe best products and teams are built by people with a wide range of perspectives and backgrounds. We welcome applications from all identities and walks of life - especially if you've ever felt discouraged by \"not checking every box\" - and provide equal opportunities regardless of gender, sexual orientation, origin, disability, or any other trait that makes you who you are.\nWe care about how your data is handled - see our Recruiting Data Privacy page","description_format":"text","description_chars":5332,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","LLM & Generative AI","Foundation Models"],"lifecycle":[{"event":"open","at":"2026-09-11T05:56:37Z"}],"visa":[],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.457,"p_room":0.28,"age_days":85,"expected_fill_days":30,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/priorlabs-ml-engineer-infrastructure","json_url":"https://alion.io/job/priorlabs-ml-engineer-infrastructure.json","meta":{"generated_at":"2026-10-30T05:18:56Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":7452,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":686123},"rest":"https://alion.io/mcp/rest/get_company?id=686123"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpriorlabs-ml-engineer-infrastructure"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpriorlabs-ml-engineer-infrastructure"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpriorlabs-ml-engineer-infrastructure"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/priorlabs-ml-engineer-infrastructure\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpriorlabs-ml-engineer-infrastructure"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":715523}},{"tool":"search_jobs","arguments":{"company":"priorlabs.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":715523},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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