Member of Technical Staff - Research Scientist

Kinetic Systems is a Stanford PhD spinout whose mission is to advance the capabilities of frontier AI models for solving clinically and economically meaningful healthcare tasks. We were founded in 2025 and are backed by General Catalyst.

The Role

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.

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

• 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)

Why Us

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