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Job Description
- Develop reinforcement learning pipelines (e.g., RLHF, GRPO, reward modeling) to align AI systems with strict clinical quality and safety standards.
- Build evaluation frameworks, and human-expert grading protocols to benchmark AI on realistic clinical scenarios.
- Identify key problems, formulate hypotheses, run scalable experiments, and publish findings at venues.
- Partner closely with clinicians, product teams, and ML researchers to translate theoretical research into tangible healthcare impact.
- Design and evaluate novel techniques for medical AI, focusing on agentic clinical reasoning, structured tool use, and multimodal understanding (text, image, audio/video).