Vmax
Member of Technical Staff - RL Infrastructure
San Francisco · Staff+
Sponsorship not specified$300k-$500kDetected 62 days ago
Machine LearningData EngineeringLLMsResearchCommunication
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.
- This role is for strong infrastructure engineers who can build the systems layer for
Responsibilities
- Build infrastructure for distributed RL training and inference across thousands of GPUs
- 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.
- Maintain engineering standards for RL infrastructure, including testing, observability, versioning, and reproducibility.
- Experience building infrastructure for LLM inference and/or RL training.
- Experience building tools, platforms, or services used by other technical users.
Requirements
- Strong software engineering experience.
- 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.
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.
- This role is based in our San Francisco office
Compensation
- The expected salary range for this position is $300,000 - $500,000 USD
Company info
- V max 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.
This listing is sourced directly from Vmax's careers page and normalized into a canonical job model.