Member of Technical Staff - RL Infrastructure

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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

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