# Member of Technical Staff - RL Infrastructure - Company: [Vmax]() - Location: SF - Team: Research and Engineering - Employment type: Full Time - Salary: $300K – $500K - Posted: May 20, 2026 ## Job description ## **About** ***Vmax*** *Vmax* is an applied research lab developing AI capable of open-ended learning. We are building systems to exceed humans in all capacities by optimising beyond the local maxima of learning from human expertise. ## 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. ## Responsibilities * Build infrastructure for distributed RL training and inference across thousands of GPUs * Improve the reliability, debuggability, and throughput of RL experiments. * Build interfaces that allow researchers and applied ML engineers to launch, inspect, compare, and reproduce experiments easily. * Own infrastructure projects end to end, from architecture and implementation through deployment, documentation, and long-term maintenance. * Identify and eliminate bottlenecks in training, rollout generation, eval execution, data movement, and cluster utilization. * Maintain engineering standards for RL infrastructure, including testing, observability, versioning, and reproducibility. ## Minimum Requirements * 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. * Experience building tools, platforms, or services used by other technical users. * Strong judgment around technical tradeoffs: when to prototype, when to harden, when to simplify, and when to redesign. * Clear written and verbal communication, especially around system design, operational risks, and engineering tradeoffs. ## Nice to have * Experience supporting research teams or fast-moving ML teams. * Experience at a high engineering bar organization where reliability, ownership, and code quality were central. * Evidence of strong independent technical work, such as open-source projects, infrastructure projects, competitions, or substantial systems built from scratch. * Experience reducing operational complexity in systems that had become brittle, slow, or hard to debug. ## **Role specific location policy** * This role is based in our San Francisco office; for exceptional candidates we are willing to consider a hybrid arrangement ## Compensation The expected salary range for this position is $300,000 - $500,000 USD ## Apply [Apply on Vmax]() Canonical job page: