Kineticsystems
Member of Technical Staff (Applied AI)
San Francisco · Staff+
Sponsorship not specifiedDetected 177 days ago
Full-Stack DevelopmentPyTorchRAGResearch
About 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.
Responsibilities
- Are excited to be on-site in SF and collaborate closely with a small team
Requirements
- 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.)
Compensation
- Competitive compensation and meaningful equity
Benefits
- Are interested in healthcare as an application (prior background not necessary)
- Leading AI research + healthcare expertise
- Competitive compensation and meaningful equity
- Comprehensive health, dental, and vision coverage
- Develop datasets, evals, and RL environments to reflect real-world healthcare workflows
- Develop, train, and evaluate computer-use agents for complex healthcare interfaces
Company info
- 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.
- Work with customers to deliver products
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This listing is sourced directly from Kineticsystems's careers page and normalized into a canonical job model.