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Kinetic Systems

Member of Technical Staff - Research

San FranciscoOnsite · United States
Staff · FullTime · Engineering
POSTED 26 JANVERIFIED 6H AGO
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Role
287 days opentrue age
Posted 26 Jan
Payats field
$175k–350k▲ 10.5% since first seen
▲ +9% vs market median $240k
$175k$350k
Market p25–p75
$205k–$284k
SF Bay Area · n=969 · 365d to 6 Nov
CompanyKinetic Systems →
6open roles
Opened · 30d
+0
Closed · 30d
−1
3d of snapshots · 30d window
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9,276open · Staff Software engineering
Opened · 7d
+4945% of open
All software engineering
75,150open
All tracked boards · live 10 Nov · n=9,276
PyTorchLLMs

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.

The Role

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.

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

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)

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

Source · Kinetic SystemsFirst seen 2 Nov3 editsOriginal ↗