Member of Technical Staff (AI Researcher)
Kinetic Systems•San Francisco, CA
•Onsite
About The Position
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.
Requirements
- 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)
Responsibilities
- 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
Benefits
- Unlimited PTO
- Comprehensive health, dental, and vision coverage
- 401(k)
- Free lunch + dinner
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
