{"id":450199,"url":"https://alion.io/job/latent-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":173879,"name":"Latent","domain":"latenthealth.com","url":"https://alion.io/company/latent-2","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":83,"open_postings":15,"ghost_share":0,"stale_share":0.467,"repost_share":0,"time_to_fill_p50_days":66,"computed_at":"2026-10-25T05:49:26Z"}},"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":225000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Post-training","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false}],"status":"live","first_seen_at":"2026-04-13T20:22:25Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-25T21:09:53Z","board_verified":true,"closed_at":null,"days_open":195,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":194},"description":"About Latent\nLatent is the enterprise pharmacy intelligence platform, powered by a clinical agentic engine, that enables health systems to grow their pharmacy operations and serve more patients. One engine works across the pharmacy journey to identify patients who qualify for care, improve medication access, capture eligible prescriptions and support patients throughout treatment. Latent’s platform enables more than 60 leading health systems that collectively serve an estimated 70 million people. Founded by Sriram “Sri” Somasundaram and Rishabh Jain, Latent has raised $80 million from Transformation Capital, Spark Capital, Conviction, General Catalyst, Y Combinator, and others.\nThe Role\nThe Machine Learning team is responsible for building systems that run in real clinical workflows. We work on verifiable reinforcement learning at scale, mid-training and post-training of foundation models, and novel objectives derived from longitudinal patient data. We are a small group of researchers and engineers focused on pushing the frontier while shipping real systems into production, and we expect engineers to take ownership of critical systems, not components.\nAs a Machine Learning Engineer, you will own the design, development, and operation of production-grade ML systems that run in real clinical workflows. You will drive systems from ambiguous problem definition through to reliable production deployment, setting technical direction along the way. We are primarily hiring for senior and staff-level engineers who are comfortable owning critical systems end-to-end. This role involves owning systems that directly impact real patient outcomes.\nWhat You'll Do\nOwn end-to-end ML systems, including architecture, data, modeling, evaluation, and production infrastructure\n\nTrain and fine-tune large language models (LLMs) for:\nClinical reasoning\n\nMedical question answering\n\nEvidence-grounded generation\n\nMake and own tradeoffs across accuracy, latency, cost, and safety in high-stakes production environments\n\nDevelop evaluation frameworks to ensure model safety and clinical validity\n\nIntegrate ML systems into product workflows and patient-facing applications\n\nMonitor system performance in production and iterate based on real-world usage and feedback\n\nDefine what “correct” means in ambiguous clinical workflows in collaboration with engineers and clinicians\n\nWhat We're Looking For\nStrong foundation in machine learning and software engineering\n\nTrack record of building and owning ML systems in production where performance, reliability, or correctness materially mattered\n\nExperience driving ambiguous ML problems from 0→1, including problem formulation, model design, and productionization\n\nHands-on experience with PyTorch or similar frameworks\n\nAbility to operate independently in high-ambiguity environments with minimal guidance\n\nStrong product and engineering judgment - you know when to use ML, when not to, and how to scope problems accordingly\n\nComfort working in a fast-moving, early-stage environment\n\nExperience working on systems where decisions have real-world consequences (e.g., healthcare, finance, infrastructure)\n\nNice to Have\nExperience deploying LLMs in production environments\n\nExperience building distributed systems or large-scale data pipelines\n\nExperience working with clinical, biomedical, or other regulated datasets\n\nWhy Join Latent\nBacked by top-tier investors including General Catalyst, Conviction, and Y Combinator\n\nWork alongside a high-caliber team building products our healthcare partners love\n\nWork on mission-critical problems at the intersection of AI and healthcare\n\nReal ownership and visibility\n\nHigh-impact role on a small, fast-growing team\n\nBenefits\nCompetitive compensation, including meaningful equity\n\nMedical, dental, and vision insurance for employee and dependents\n\nFlexible PTO policy\n\nPaid parental leave\n\nFertility and family-building stipend through Carrot","description_format":"text","description_chars":3932,"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":["Equity","Parental leave","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Medical AI","Revenue Cycle & Medical Billing"],"lifecycle":[{"event":"open","at":"2026-09-06T08:23:53Z"}],"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":162500,"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":3}],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.409,"p_room":0.28,"age_days":194,"expected_fill_days":66,"reasons":["conf:0","velocity","win:tail","crowd:"],"computed_at":"2026-10-25T05:49:26Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/latent-machine-learning-engineer","json_url":"https://alion.io/job/latent-machine-learning-engineer.json","meta":{"generated_at":"2026-10-25T23:28:21Z","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":33125,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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":173879},"rest":"https://alion.io/mcp/rest/get_company?id=173879"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flatent-machine-learning-engineer"},{"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%2Flatent-machine-learning-engineer"},{"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%2Flatent-machine-learning-engineer"},{"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/latent-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flatent-machine-learning-engineer"}]}