{"id":2208010,"url":"https://alion.io/job/jane-street-machine-learning-performance-engineer-2","title":"Machine Learning Performance Engineer","company":{"id":7349,"name":"Jane Street","domain":"janestreet.com","url":"https://alion.io/company/jane-street","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":77,"open_postings":174,"ghost_share":0.305,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":177,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":152000,"max_usd":336000,"period":"year","method":"role_country_seniority_unknown","sample_n":3434},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"cuDNN","optional":false},{"name":"CUTLASS","optional":false},{"name":"InfiniBand","optional":false},{"name":"Machine Learning","optional":false},{"name":"NCCL","optional":false},{"name":"NVLink","optional":false},{"name":"Sass","optional":false},{"name":"Triton","optional":false}],"status":"live","first_seen_at":"2024-05-20T21:27:18Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-10T23:36:35Z","board_verified":true,"closed_at":null,"days_open":873,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":872},"description":"We are looking for an engineer with experience in low-level systems programming and optimization to join our growing ML team. \nMachine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction.\nYour part here is optimizing the performance of our models - both training and inference. We care about efficient large-scale training, low-latency inference in real-time systems, and high-throughput inference in research. Part of this is improving straightforward CUDA, but the interesting part needs a whole-systems approach, including storage systems, networking, and host- and GPU-level considerations. Zooming in, we also want to ensure our platform makes sense even at the lowest level - is all that throughput actually goodput? Does loading that vector from the L2 cache really take that long?\nIf you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. \nThere’s no fixed set of skills, but here are some of the things we’re looking for:\nAn understanding of modern ML techniques and toolsets\nThe experience and systems knowledge required to debug a training run’s performance end to end\nLow-level GPU knowledge of PTX, SASS, warps, cooperative groups, Tensor Cores, and the memory hierarchy\nDebugging and optimization experience using tools like CUDA GDB, NSight Systems, NSight Compute\nLibrary knowledge of Triton, CUTLASS, CUB, Thrust, cuDNN, and cuBLAS\nIntuition about the latency and throughput characteristics of CUDA graph launch, tensor core arithmetic, warp-level synchronization, and asynchronous memory loads\nBackground in Infiniband, RoCE, GPUDirect, PXN, rail optimization, and NVLink, and how to use these networking technologies to link up GPU clusters\nAn understanding of the collective algorithms supporting distributed GPU training in NCCL or MPI\nAn inventive approach and the willingness to ask hard questions about whether we're taking the right approaches and using the right tools\nIf you're a recruiting agency and want to partner with us, please reach out to .","description_format":"text","description_chars":2385,"description_truncated":false,"requirements":{"experience_years_min":null,"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","Machine Learning","Financial AI"],"lifecycle":[{"event":"open","at":"2026-10-10T00:34:22Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.141,"p_room":0.28,"age_days":872,"expected_fill_days":177,"reasons":["conf:1","velocity","ghost","win:tail","crowd:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/jane-street-machine-learning-performance-engineer-2","json_url":"https://alion.io/job/jane-street-machine-learning-performance-engineer-2.json","meta":{"generated_at":"2026-10-11T03:18:19Z","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","counted_by":"address","units_charged":1,"used_today":853,"day_limit":5000,"remaining_today":4147,"minute_limit":60,"resets_at":"2026-10-12T00:00:00Z"}},"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":7349},"rest":"https://alion.io/mcp/rest/get_company?id=7349"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjane-street-machine-learning-performance-engineer-2"},{"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%2Fjane-street-machine-learning-performance-engineer-2"},{"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%2Fjane-street-machine-learning-performance-engineer-2"},{"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/jane-street-machine-learning-performance-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjane-street-machine-learning-performance-engineer-2"}]}