Member of Technical Staff
Kinetic Systems
Member of Technical Staff
Kinetic Systems
Reinforcement learning datasets for healthcare automation
Kinetic Systems is a healthcare AI research lab. We partner with frontier labs and healthcare organizations to help make AI models safer and more reliable.
We spun out of the Stanford PhD program in 2025 and are backed by General Catalyst, Conviction, and other great investors.
As a Member of Technical Staff (Research), you’ll help drive our research agenda towards advancing AI model capabilities for real-world healthcare tasks. You will have high agency to explore novel research directions and investigate the edge of model capabilities. You will own the end-to-end research pipeline - from task ideation to execution to analysis to presentation. You'll be joining an energetic, early-stage startup environment and have ownership across the full stack of what we do: product, research, training, evals, and infrastructure.
Note: This is a full-time role, required to be in-person in SF.
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
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
Prior background in healthcare AI research is a big plus (but not required)
If you join our team, you will be joining a team with...
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
Reinforcement learning datasets for healthcare automation
Kinetic Systems builds data infrastructure for autonomous healthcare delivery, providing curated reinforcement learning environments and post-training datasets for AI researchers. Its flagship HealthAdminBench benchmarks AI agents on multi-step healthcare administrative tasks such as prior authorizations, denial appeals, and ordering durable medical equipment to tune models for real-world admin work. The company differentiates itself by focusing specifically on healthcare administration economics and by applying Stanford-origin research to improve fine-tuned models for administrative tasks rather than general clinical tasks. Its goal is to help frontier AI labs, providers, MSOs, and BPOs deploy AI that can automate back-office workflows and enable more autonomous care.
Explore more opportunities at Kinetic Systems