Research Intern

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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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.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Entry From the posting source checked Jun 20, 2026

Work mode

Onsite From the posting source checked Jun 20, 2026

In-office days

5 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Research Intern 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 Intern, you will work alongside the research team to design and evaluate RL environments for domains where expertise is hard to formalize. You'll get hands-on experience at the frontier of AI training, contributing to projects that ship directly to partner labs. This is a high-impact internship for someone who learns fast, thinks carefully, and wants to do work that matters. We prefer individuals with prior ML or AI experience, however we care more about intellectual curiosity and the ability to reason rigorously about hard problems. IN THIS ROLE, YOU WILL - Assist in designing and evaluating RL environments across new domains - Run experiments to test hypotheses about reward modeling and environment quality - Collaborate with domain experts to understand what mastery looks like in a given field - Contribute to internal research documents and help refine Traverse's methodology - Work directly with research scientists and engineers on active projects YOUR BACKGROUND LOOKS SOMETHING LIKE THIS - Currently pursuing or recently completed a BS, MS, or PhD in any rigorous field - Strong analytical and

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