Kinetic Systems is an applied research lab building data infrastructure for the autonomous hospital.
We spun out of the Stanford PhD program in 2025 and are backed by General Catalyst. Our mission is to advance the capabilities of frontier models for solving clinically and economically meaningful healthcare tasks.
As an Intern, you’ll get hands-on experience 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. Internships must be at least 3-months.
Whatever it takes! Please read the other job descriptions to get a sense of what we do
Have experience with PyTorch, HuggingFace, or similar libraries
Familiar with best practices around RLEs, benchmarks, evals, and post-training
Interested in healthcare as an application (prior background not necessary)
If you join our team, you will be joining a team with leading healthcare + AI expertise, and an opportunity to help advance AI research in one of its most meaningful application areas.
Skills Required
- 1+ first-author publication in a top ML conference (NeurIPS, ICLR, ICML, etc.)
- Trained a 1B+ parameter model from scratch
- Research background in Computer-Use Agents, Vision-Language Models, Computer Vision, Robotics, or Reinforcement Learning
- MS or PhD preferred
- Significant experience with PyTorch, HuggingFace, or similar libraries
- High-agency and ability to own large, ambiguous problem spaces
- Comfortable working long hours in a high-intensity, early-stage environment
- Willingness and ability to be on-site in San Francisco for the duration of the internship (relocation support provided)
- Authorized to work in the US (eVerify)
- Available to start within the next month
- Interest in healthcare applications (prior healthcare background not required)
What We Do
Kinetic Systems is an applied AI research lab focused on improving frontier models to solve economically meaningful healthcare tasks. Founded in 2025 out of the Stanford PhD program and backed by Tier 1 VCs, its mission is to advance the capabilities of frontier AI models by building novel datasets, environments, and models. The company operates at the intersection of computer-use agents, human data, and healthcare.
