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Senior Research Engineer in Reinforcement Learning for Healthcare AI

San Francisco Bay Area
Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Build and optimize reinforcement learning (RL) environments and reward systems for cutting-edge healthcare AI models focused on drug discovery and cancer treatment. Design complex RL tasks, evaluate multi-step agents, and improve data/feedback signals to enhance clinical reasoning. Requires 1+ years of expertise in RL, agent environments, and post-training ML systems.

Key Highlights
Own the full reinforcement learning loop, including task design, evaluation, and reward modeling for healthcare AI
Work with advanced post-training techniques like RLHF/RLAIF, SFT, and RLVR to refine language models and agents
Analyze and improve model failures to enhance data quality, reward signals, and clinical relevance

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Key Responsibilities
Design and implement comprehensive reinforcement learning environments, including task design, action spaces, and evaluation harnesses
Conduct sophisticated post-training experiments on language models and agents using techniques like SFT, RLVR, RLHF/RLAIF, and reward modeling
Train and evaluate multi-step agents to navigate complex patient histories and unstructured medical data for clinical reasoning accuracy
Analyze model failures to iteratively improve data quality, reward signals, and feedback mechanisms
Technical Skills Required
Reinforcement Learning Machine Learning Post-Training Language Model Optimization

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Benefits & Perks
Up to $350,000 base salary
Up to 1.0% equity
Unlimited AI tool budgets

Job Description

Our client is a hyper-growth, heavily backed startup that is revolutionizing the frontier of healthcare AI to radically improve drug discovery and solve cancer. Having recently secured a $100M raise, they are building the foundational data layer and post-training simulation environments where the next generation of medical AI models learn. They are seeking a powerhouse Research Engineer to own the full reinforcement learning loop and build the crucial evaluation and reward layer for frontier AI models using real-world clinical and genomic context.

Role & Impact

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Job Overview
Posted Sep 23, 2026
Employment Full-time
Experience Mid-Senior level
Location San Francisco Bay Area
Category Graphic Design
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