# Member of Technical Staff - RL Infrastructure 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/4253287009
- Page: https://www.1752.vc/careers/jobs/vmax-member-of-technical-staff-rl-infrastructure/

## About the role

This role is for strong infrastructure engineers who can build the systems layer for RL at scale: distributed rollouts, training orchestration, inference, evals, data pipelines, observability, and reliability. You will create the durable platform that enables researchers and applied ML engineers to run, debug, and reproduce large-scale RL experiments.

## What they're looking for

- Strong software engineering experience
- Experience building infrastructure for LLM inference and/or RL training
- Experience with GPU clusters, distributed training, model serving, or high-throughput inference systems
- Familiarity with vLLM, SGLang and modern LLM-RL training frameworks
- Strong understanding of system reliability, observability, testing, debugging, and performance optimization
- Ability to work closely with ML researchers and translate messy experimental workflows into durable infrastructure

Tags: Research and Engineering