{"id":461536,"url":"https://alion.io/job/layer-health-ml-scientist","title":"ML Scientist","company":{"id":177730,"name":"Layer Health","domain":"layerhealth.com","url":"https://alion.io/company/layer-health","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"C","score":56,"open_postings":15,"ghost_share":0.733,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-24T06:02:35Z"}},"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":["Boston, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"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":true,"technologies":[{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"PyTorch","optional":false}],"status":"live","first_seen_at":"2024-11-19T16:27:34Z","employer_posted_date":"2025-11-17","last_verified_at":"2026-10-24T20:51:00Z","board_verified":true,"closed_at":null,"days_open":704,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":703},"description":"Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.\nWe’re seeking outstanding hires to join our team as early members. This is an opportunity to contribute to a high-impact, collaborative, mission-driven team, and help define the next stage of growth for Layer Health. Together, we will create the AI layer that will redefine healthcare for the better.\nHere’s a collection of articles about our product, mission, recent funding round, etc.\nJob Description\nWe’re hiring an exceptional ML scientist. In this role, you will be responsible for pioneering innovative machine learning techniques to advance our fundamental clinical machine learning and large language model efforts.\nYou can expect to:\nDesign and implement state-of-the-art machine learning techniques to advance Layer Health’s research agenda (in areas such as information extraction, multimodal reasoning, and summarization).\nPropose new agentic methods that tackle fundamental NLP and ML challenges such as modeling over multiple documents, long contexts, multiple modalities, and with limited or noisy labels \nBuild foundation models to power the future of clinical information extraction & synthesis, from training through inference. \nStay up-to-date and actively engage with cutting-edge research in NLP, generative AI, and clinical machine learning.\nCollaborate with the broader engineering team to ship performant products that meet user needs.\nCultivate and foster a robust and thoughtful R&D culture that drives the company forward.\nWe look for:\nExceptional methodological research background and experience, including but not limited to:\nA PhD in computer science/applied mathematics or equivalent research experience, specializing in natural language processing and machine learning.\nHigh-impact, early-author publications at top peer-reviewed ML journals/conferences.\nDemonstrated record of delivering real-world impact from start to finish- with the ability to design, develop, and ship innovations.\nStrong programming skills and fluency with modern machine learning/LLM stacks (deep learning libraries e.g. PyTorch, Jax).\nPast experience in training/inference of foundation models (billions of parameters, distributed training, familiarity with state-of-the-art techniques).\nA strong communicator who thrives in a customer-focused, fast-paced environment.\nAn excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team. \nPast experience in healthcare of life sciences is a plus, but not required.\nWe are a Boston-based company, and expect employees to meet regularly in-person in Boston (employees from Boston, NYC, or east coast are welcome).\nExpected compensation range for this role is $200,000-250,000, in addition to stock options. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. \nIf you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. \nLayer Health is committed to fostering an environment of inclusion that is free from discrimination. We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.\nJoin us and help us transform healthcare with AI.","description_format":"text","description_chars":4668,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Stock options"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Medical AI"],"lifecycle":[{"event":"open","at":"2026-09-06T11:15:17Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5","filings_12m":5,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":167500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":1}],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.132,"p_room":0.28,"age_days":703,"expected_fill_days":31,"reasons":["conf:0","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-24T06:02:35Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/layer-health-ml-scientist","json_url":"https://alion.io/job/layer-health-ml-scientist.json","meta":{"generated_at":"2026-10-24T22:05:31Z","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":32350,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":177730},"rest":"https://alion.io/mcp/rest/get_company?id=177730"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flayer-health-ml-scientist"},{"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%2Flayer-health-ml-scientist"},{"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%2Flayer-health-ml-scientist"},{"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/layer-health-ml-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flayer-health-ml-scientist"}]}