Kinetic Systems is an applied research lab building data infrastructure for autonomous healthcare. We spun out of the Stanford PhD program in 2025 and are backed by General Catalyst. Our mission is to advance the capabilities of frontier models for solving clinically and economically meaningful healthcare tasks.
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