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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
- 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
Requirements
- Proficient in full-stack development, e.g. web frameworks, backend systems, cloud infra
- Deployed 1+ AI projects into production that required more than just calling an API (e.g. RAG, tool-calling agent, inference serving engine, etc.)
- Basic familiarity with PyTorch, HuggingFace, or similar libraries
- Can spin up a GPU cluster and train/evaluate a model
- Comfortable working long hours in a high-intensity, early-stage environment
- Interested in healthcare as an application (prior background not necessary)
Skills
- Full-stack development
- Web frameworks
- Backend systems
- Cloud infra
- AI projects
- RAG
- Tool-calling agent
- Inference serving engine
- PyTorch
- HuggingFace
- GPU cluster management
- Model training
- Model evaluation
Location
- San Francisco
Work Type
- On-site
- Full-time
Experience Level
- Early-stage environment
Benefits
- Unlimited PTO
- Comprehensive health, dental, and vision coverage
- 401(k)
- Free lunch + dinner
About the Company
- 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.
- Founded in 2025 out of the Stanford PhD program and backed by Tier 1 VCs.
- 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