{"id":176207,"url":"https://alion.io/job/extropic-research-scientist-machine-learning","title":"Research Scientist - Machine Learning","company":{"id":63280,"name":"Extropic","domain":"extropic.ai","url":"https://alion.io/company/extropic","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":58,"open_postings":10,"ghost_share":0.7,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Diffusion Models","optional":false},{"name":"JAX","optional":false},{"name":"Keras","optional":false},{"name":"ONNX","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"SLURM","optional":false},{"name":"TensorFlow","optional":false},{"name":"Weights & Biases","optional":false}],"status":"live","first_seen_at":"2026-06-30T21:44:50Z","employer_posted_date":"2026-06-30","last_verified_at":"2026-10-17T12:04:28Z","board_verified":true,"closed_at":null,"days_open":108,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":108},"description":"Extropic’s hardware massively accelerates certain kinds of probabilistic inference. Our ML team works on the science of training models in the thermodynamic paradigm, and we are looking for senior research and engineering talent to derive probabilistic ML theory, empirically demonstrate its scaling properties, and deploy performant models. Senior hires will be leading their own research direction and are therefore expected to quickly become experts across our abstraction stack, including the hardware, software, physics, and math.\nResponsibilities\nCollaborate with senior researchers, residents, engineers, and physicists to derive the theory of new probabilistic models and their learning rules, including energy-based models and diffusion models\n\nScale up experimentation infrastructure and optimize over the design space of models\n\nImplement, visualize, and evaluate new architectures, training algorithms, and benchmarks\n\nPublish papers, contribute to open source, and communicate design insights to our hardware team\n\nCreate production models for domain experts using customer data\n\nRequired Qualifications\nExperience in scientific Python and at least one deep learning framework (PyTorch, JAX, TensorFlow, Keras)\n\nExtremely strong foundations in probability and linear algebra\n\nFamiliarity with deep learning theory and literature, including theory of over-parameterization and scaling laws\n\nPublications in top ML conferences (NeurIPS, ICML, ICLR, CVPR)\n\nExperience training high-performance models, including familiarity with infrastructure (Slurm, Ray, Weights & Biases)\n\nExperience deploying models, including familiarity with infrastructure (Ray, AWS, ONNX)\n\nPreferred Qualifications\nExperience designing probabilistic graphical models (PGM)\n\nExperience training energy-based models (EBMs) or diffusion models\n\nExperience with numerical methods in diffeq solvers\n\nExperience with message passing or training graph neural networks (GNNs)\n\nStrong theoretical background in information geometry\n\nStrong theoretical background in random matrix theory\n\nStrong grasp of computational Bayesian methods, including MCMC sampling methods and variational inference\n\nThis position will require access to information subject to control under U.S. export control laws and regulations, including the Export Administration Regulations (“EAR”). Please note that any offer for employment will be conditioned on authorization to receive controlled items.","description_format":"text","description_chars":2451,"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":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-08-30T14:45:23Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.274,"p_room":0.28,"age_days":108,"expected_fill_days":37,"reasons":["conf:0","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/extropic-research-scientist-machine-learning","json_url":"https://alion.io/job/extropic-research-scientist-machine-learning.json","meta":{"generated_at":"2026-10-17T13:10:21Z","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":17620,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":63280},"rest":"https://alion.io/mcp/rest/get_company?id=63280"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fextropic-research-scientist-machine-learning"},{"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%2Fextropic-research-scientist-machine-learning"},{"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%2Fextropic-research-scientist-machine-learning"},{"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/extropic-research-scientist-machine-learning\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fextropic-research-scientist-machine-learning"}]}