Research EngineerLotus Health is a groundbreaking primary care app that integrates your medical records, AI, and real doctors to provide free, personalized healthcare and prescriptions.Our 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.Role OverviewWe 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.ResponsibilitiesResearch and Modeling Build and iterate on agentic workflows that use retrieval, function calling, and planning to answer health questions with citations and uncertainty awarenessFine tune and distill models for summarization, extraction, classification, and dialogue grounded in medical dataDevelop abstention, routing, and fallback strategies that favor safety and correctnessDatasets and Labeling Curate high quality datasets from EHR, claims, labs, devices, and chat logs with rigorous deidentificationDesign synthetic data and clinician-in-the-loop labeling pipelines that reflect real clinical useEvaluation and Safety Own the eval stack for medical correctness, hallucination, bias, safety, latency, and costBuild automated red teaming and regression suites tied to clinical guidelines and source citationsSystems and Production Ship research to production with robust observability, feature flags, and rollback plansOptimize inference with batching, quantization, LoRA or QLoRA, and vLLM or TensorRT where appropriateCollaborate with data and product engineers on retrieval, storage schemas, and lineage so every claim is explainableWhat You Bring:Strong Python and deep experience with PyTorch or JAXTrack record shipping applied ML or LLM features to real users, not just prototypesHands-on experience with RAG, prompt and tool design, evaluation harnesses, and error analysisSolid SQL plus comfort with vector stores and retrieval patternsProduct sense, pragmatism, and the ability to reduce complex systems into simple, reliable componentsWillingness to work on-site in San FranciscoBonus Points:Experience with clinical ontologies and standards such as SNOMED CT, ICD, LOINC, RxNorm, FHIR, and NCPDPBackground in RLHF or RLAIF, distillation, program-of-thought, and structured tool useExperience building speech or multimodal pipelines for medical settingsContributions to open source, published work, or well known eval frameworksDeep familiarity with observability stacks such as Sentry and Langfuse and containerized deployments such as Docker or ECSWhy Lotus:Join 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.If this sounds like you, we would love to meet.