Member of Technical Staff - Research

The role

You will drive the research agenda to advance AI model capabilities for real-world healthcare tasks. You will own the end-to-end research pipeline from task ideation to execution, analysis, and presentation.

What you will 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

Required qualifications

• MS / PhD in relevant technical field (CS, ML, biomedical data science)
• Prior work experience at a frontier lab, top academic research lab, or RLE/human data company
• Published 1+ first-author papers in a top ML conference (NeurIPS, ICLR, ICML, etc.)
• Strong experience with PyTorch, HuggingFace, or similar libraries
• Have built and delivered RLEs, benchmarks, or evals to frontier lab customers
• Have direct experience post-training LLMs
• Can independently brainstorm, design, and execute rigorous research projects

Nice to have

• Prior background in healthcare AI research

Benefits

• Founding-level impact and ownership
• An opportunity to advance AI research in one of its most meaningful application areas
• Competitive compensation and meaningful equity
• Unlimited PTO
• Comprehensive health, dental, and vision coverage
• 401(k)
• Free lunch + dinner

About the company

Kinetic Systems is a healthcare AI research lab. It spun out of the Stanford PhD program in 2025 and is backed by General Catalyst, Conviction, and other investors.