Member of Technical Staff - Research

The Role

As a Member of Technical Staff (Research Scientist), you’ll help drive our research agenda towards advancing AI model capabilities for real-world healthcare tasks. You'll be joining an energetic, early-stage startup environment and have ownership across the full stack of what we do: product, research, training, evals, and infrastructure.

Note: This is a full-time role, required to be in-person in SF.

What You’ll Do

• Develop novel evals, RL environments, and benchmarks to reflect real-world healthcare workflows
• Develop, train, and evaluate computer-use agents for complex healthcare interfaces
• Write and publish papers in academic conferences

Who You Are

• Masters or PhD in relevant field (CS, ML, biomedical data science)
• Prior work experience at a frontier lab, top academic research lab, or RLE/human data company
• Published 1+ first-author papers in a top ML conference (NeurIPS, ICLR, ICML, etc.)
• Strong experience with PyTorch, HuggingFace, or similar libraries
• Have built and delivered RLEs, benchmarks, or evals to frontier lab customers
• Have direct experience post-training LLMs
• Can independently brainstorm, design, and execute rigorous research projects
• Prior background in healthcare AI research is a big plus (but not required)

Why US

If you join our team, you will be joining a team with...

• Founding-level impact and ownership
• An opportunity to advance AI research in one of its most meaningful application areas
• Competitive compensation and meaningful equity
• Unlimited PTO
• Comprehensive health, dental, and vision coverage
• 401(k)
• Free lunch + dinner