Research Intern

Traverse•San Francisco, CA

18h

About The Position

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.

Requirements

Currently pursuing or recently completed a BS, MS, or PhD in any rigorous field
Strong analytical and problem-solving skills
Ability to learn quickly and work independently in an ambiguous environment
Genuine curiosity about how expertise works across different domains

Nice To Haves

Familiarity with reinforcement learning, RLHF, or LLM evaluation
Prior research experience in any field
Strong programming skills in Python

Responsibilities

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