Full timeOther

Internship

KineticsystemsSan Francisco🇺🇸United States

Why this role stands out

Gain invaluable full-stack experience at a cutting-edge applied research lab backed by a top-tier VC, perfect for driven individuals eager to make a significant impact in healthcare AI. You'll be immersed in product, research, and infrastructure, developing foundational skills for a career at the forefront of innovation. Apply to be a part of this exciting mission!

Quick overview

SeniorityEntry Level

Employment typeFull Time

Work modeOn Site

LocationSan Francisco, United States

PyTorch

Job description

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.

The Role

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.

What You’ll Do

Whatever it takes! Please read the other job descriptions to get a sense of what we do

Who You Are

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)

Why Us

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.