# Member of Technical Staff - 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: Senior
- Location: San Francisco
- Work setup: On-site
- Pay: $300K to $500K base salary per year (USD)
- Posted: 2026-05-20
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/vmax/jobs/4251680009
- Page: https://www.1752.vc/careers/jobs/vmax-member-of-technical-staff-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

- PhD or equivalent experience in machine learning, reinforcement learning, or a closely related field
- Track record of research excellence, as demonstrated by publications, open source work, deployed AI systems, or other substantial technical contributions
- Deep understanding of modern machine learning, especially reinforcement learning, representation learning, and large language models
- Strong familiarity with LLM post-training methods
- Experience designing and running rigorous ML experiments, including ablations, baselines, evaluation design, and failure analysis
- Expertise with Python and at least one major ML framework such as PyTorch or JAX

Tags: Research and Engineering