Member of Technical Staff (Applied AI)

Kinetic Systems • San Francisco, CA

15h • 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. 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.

Requirements

• 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
• Comfortable working long hours in a high-intensity, early-stage environment
• Excited to be on-site in SF and collaborate closely with a small team
• Interested in healthcare as an application (prior background not necessary)

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

Benefits

• 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
• Unlimited PTO
• Comprehensive health, dental, and vision coverage
• 401(k)
• Free lunch + dinner

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed