Research Engineer

About Us

Lotus 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 Overview

We 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.

Responsibilities

• Research and ModelingBuild 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 correctness
• Datasets and LabelingCurate 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 use
• Evaluation and SafetyOwn the eval stack for medical correctness, hallucination, bias, safety, latency, and costBuild automated red teaming and regression suites tied to clinical guidelines and source citations
• Systems and ProductionShip 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 explainable

What You Bring:

• Strong Python and deep experience with PyTorch or JAX
• Track record shipping applied ML or LLM features to real users, not just prototypes