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.

The Role

As a Member of Technical Staff (Applied AI), you’ll help drive our research agenda towards advancing AI model capabilities for real-world healthcare tasks, build novel evals and benchmarks, and work with customers.

What You’ll Do

• Develop datasets, evals, and RL environments to reflect real-world healthcare workflows

• Develop, train, and evaluate computer-use agents for complex healthcare interfaces

• Work with customers to deliver products

• Work across the stack: models, tooling, infra, product, and internal workflows

Who You Are

• Are proficient in full-stack development, e.g. web frameworks, backend systems, cloud infra

• Have deployed 1+ AI projects into production that required more than just calling an API (e.g. RAG, tool-calling agent, inference serving engine, etc.)

• Have basic familiarity with PyTorch, HuggingFace, or similar libraries

• Can spin up a GPU cluster and train/evaluate a model

• 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