# Research Fellowship - Mechanistic Interpretability at Vmax

- Company: Vmax
- What the company does: Vmax is automating reinforcement learning. We transform proprietary data and evals into new sets of environments. We refine agents on new examples of the tasks they are intended to perform. Backed by South Park Commons.
- Company website: https://vmax.ai
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Posted: 2026-05-20
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/vmax/jobs/4253430009
- Page: https://www.1752.vc/careers/jobs/vmax-research-fellowship-mechanistic-interpretability/

## About the role

LLMs are fantastically powerful and there is a rapidly growing corpus of work devoted to understanding their internal representations and computations. We use the tools of mechanistic interpretability to enhance reinforcement learning by generating intrinsic rewards as a supplement or alternative to downstream human-generated verifiers.

## What they're looking for

- Track record of research excellence or strong research promise, demonstrated through publications, preprints, open-source work, technical projects, competitions, or publicly available artifacts
- Working understanding of reinforcement learning
- Familiarity with mechanistic interpretability, representation analysis, or empirical methods for understanding neural networks
- Strong programming ability in Python and experience with at least one major ML framework such as PyTorch or JAX
- Clear written and verbal communication of technical ideas

Tags: Research and Engineering