Kinetic Systems works at the intersection of computer-use agents, human data, and healthcare. Our mission is to advance the capabilities of frontier AI models on economically meaningful healthcare tasks by building novel datasets, environments, and models. We were founded in 2025 out of the Stanford PhD program and backed by Tier 1 VCs.
As a Member of Technical Staff (AI Researcher), you’ll help drive our research agenda towards advancing AI model capabilities for real-world healthcare tasks.
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
Published at 1+ first-author papers in a top ML conference (NeurIPS, ICLR, ICML, etc.)
Have significant experience with PyTorch, HuggingFace, or similar libraries
Familiar with a modern RL training framework
Are comfortable working long hours in a high-intensity, early-stage environment
Are excited to be on-site in SF and collaborate closely with a small team
Are interested in healthcare as an application (prior background not necessary)
If you join our team, you will be joining a team with...
Founding-level impact and ownership
Leading AI research + healthcare expertise
Competitive compensation and meaningful equity
An opportunity to advance AI research in one of its most meaningful application areas
You'll also receive...
Unlimited PTO
Comprehensive health, dental, and vision coverage
401(k)
Free lunch + dinner