Six Figure Work

Member of Technical Staff - Research

Kinetic Systems

Company websitekineticsystems.ai (Kinetic Systems, opens in new tab)

Base salary $175K  to $350K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since

About this job

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 Systems on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($175,000) is above 39% of the 1,718 Data & ML roles in California listed on this site; 32 others list the same floor. Their median floor is $184,000; the middle half runs from $154,150 to $224,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 2 other live Kinetic Systems roles with the nearest advertised base floor
Chart as a table
This range next to 2 other live Kinetic Systems roles with the nearest advertised base floor
RolePublished base
Member of Technical Staff - Research (this listing)$175K - $350K
Member of Clinical Staff$150K - $225K
Member of Technical Staff - Engineering$115K - $200K

Same $100K to $400K scale as every card. All Kinetic Systems roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
  3. Advertised base range changed
Observed since
Employer-stated posting date
2026-01-26
Where this pay comes from

Location as the employer wrote it: San Francisco

USD 175,000 – 350,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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