{"id":787062,"url":"https://alion.io/job/lotushealth-research-engineer","title":"Research Engineer","company":{"id":720329,"name":"Lotus","domain":"lotus.ai","url":"https://alion.io/company/lotus-3","size_band":"201-500","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-23T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":164000,"max_usd":353000,"period":"year","method":"role_country_seniority_unknown","sample_n":2391},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"Hallucination","optional":false},{"name":"JAX","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LoRA","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"QLoRA","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Red Teaming","optional":false},{"name":"SQL","optional":false},{"name":"Synthetic Data","optional":false},{"name":"TensorRT","optional":false},{"name":"Tool Use","optional":false},{"name":"vLLM","optional":false},{"name":"Amazon ECS","optional":true},{"name":"Docker","optional":true},{"name":"Knowledge Distillation","optional":true},{"name":"Langfuse","optional":true},{"name":"Model Distillation","optional":true},{"name":"Multimodal AI","optional":true},{"name":"PEFT","optional":true},{"name":"RLAIF","optional":true},{"name":"RLHF","optional":true},{"name":"Sentry","optional":true}],"status":"live","first_seen_at":"2025-11-24T20:56:23Z","employer_posted_date":"2025-11-24","last_verified_at":"2026-09-23T12:44:45Z","board_verified":true,"closed_at":null,"days_open":302,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":302},"description":"Research Engineer\nAbout Us\nLotus Health is a groundbreaking primary care app that integrates your medical records, AI, and real doctors to provide free, personalized healthcare and prescriptions.\nOur team includes ex-founders and engineers who have built and scaled consumer apps to millions of users, generating over $100M in annual revenue. Lotus is backed by Kleiner Perkins, and clinicians at Harvard and Stanford.\nRole Overview\nWe are hiring a Founding Research Engineer to design, prototype, and ship the core reasoning and agentic systems that power Lotus. You will turn messy health data into accurate, cited, and actionable guidance for patients and clinicians. The work blends applied research with product engineering: dataset curation, model training and evaluation, retrieval and tool use, safety and alignment, and putting breakthroughs into production. You will work side by side with clinicians and the founding team and your work will reach patients quickly.\nResponsibilities\nResearch and Modeling\nBuild and iterate on agentic workflows that use retrieval, function calling, and planning to answer health questions with citations and uncertainty awareness\n\nFine tune and distill models for summarization, extraction, classification, and dialogue grounded in medical data\n\nDevelop abstention, routing, and fallback strategies that favor safety and correctness\n\nDatasets and Labeling\nCurate high quality datasets from EHR, claims, labs, devices, and chat logs with rigorous deidentification\n\nDesign synthetic data and clinician-in-the-loop labeling pipelines that reflect real clinical use\n\nEvaluation and Safety\nOwn the eval stack for medical correctness, hallucination, bias, safety, latency, and cost\n\nBuild automated red teaming and regression suites tied to clinical guidelines and source citations\n\nSystems and Production\nShip research to production with robust observability, feature flags, and rollback plans\n\nOptimize inference with batching, quantization, LoRA or QLoRA, and vLLM or TensorRT where appropriate\n\nCollaborate with data and product engineers on retrieval, storage schemas, and lineage so every claim is explainable\n\nWhat You Bring:\nStrong Python and deep experience with PyTorch or JAX\n\nTrack record shipping applied ML or LLM features to real users, not just prototypes\n\nHands-on experience with RAG, prompt and tool design, evaluation harnesses, and error analysis\n\nSolid SQL plus comfort with vector stores and retrieval patterns\n\nProduct sense, pragmatism, and the ability to reduce complex systems into simple, reliable components\n\nWillingness to work on-site in San Francisco\n\nBonus Points:\nExperience with clinical ontologies and standards such as SNOMED CT, ICD, LOINC, RxNorm, FHIR, and NCPDP\n\nBackground in RLHF or RLAIF, distillation, program-of-thought, and structured tool use\n\nExperience building speech or multimodal pipelines for medical settings\n\nContributions to open source, published work, or well known eval frameworks\n\nDeep familiarity with observability stacks such as Sentry and Langfuse and containerized deployments such as Docker or ECS\n\nWhy Lotus:\nJoin a team redefining how healthcare information is understood and acted upon. As a founding member you will set research direction, shape the model and agent architecture, and see your work improve care for real people at scale. You will work with exceptional engineers, clinicians, and researchers to build accessible, free primary care for everyone.\nIf this sounds like you, we would love to meet.","description_format":"text","description_chars":3515,"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":["Biotechnology","Health Care","Search Engines"],"lifecycle":[{"event":"open","at":"2026-09-12T02:14:29Z"}],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.12,"p_room":0.28,"age_days":302,"expected_fill_days":32,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-09-23T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/lotushealth-research-engineer","json_url":"https://alion.io/job/lotushealth-research-engineer.json","meta":{"generated_at":"2026-09-23T20:47:32Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}