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Kinetic Systems

Member of Technical Staff - Research Scientist

San Francisco

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hirly's read of this role

Role family
Data & ML
Seniority
Lead / management
Country
US
Work mode
On-site / unstated
First seen by hirly
28 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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 a Member of Technical Staff (Research Engineer) , you’ll help drive our research agenda towards advancing AI model capabilities for real-world healthcare tasks. 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.

What You’ll 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

Who You Are

Published at 1+ first-author papers in a top ML conference (NeurIPS, ICLR, ICML, etc.)

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...

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

Original posting on Kinetic Systems's site ↗

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