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Research Scientist

Traverse - San Francisco | OnSite

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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About this role

Research Scientist San Francisco | OnSite ABOUT TRAVERSE Traverse is a research data lab building reinforcement learning environments for frontier AI labs. We focus on the non-deterministic, taste-dependent work that makes up most of the economy and that nobody else has figured out how to train models on. We work directly with the labs building the most capable models on earth as a thought partner. Backed by Y Combinator. ABOUT THE ROLE As a Research Scientist, you will design and build RL environments that teach models to do work that has historically required years of human expertise. You'll work at the boundary of research and domain knowledge, figuring out how to formalize what good performance looks like in messy, real-world domains and turning that into training signal that actually works. We're looking for people who think carefully about what makes a good environment, not just what makes a functional one. No prior ML or AI experience is required - we care about the ability to reason rigorously about hard problems and learn fast. IN THIS ROLE, YOU WILL - Research and develop novel approaches to reward modeling, environment design, and evaluation for non-deterministic domains - Collaborate with domain experts to understand what mastery looks like in a given field and translate that into training signal - Build and run experiments to validate that environments actually improve model capabilities - Contribute to Traverse's research output and help establish our methodology across new verticals - Work directly with partner labs to integrate

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