Luma is building unified general intelligence that can generate, understand, and operate in the physical world. We seek a senior RL systems engineer to design, build, and scale post-training RL workloads across thousands of GPUs, orchestrating trainer, rollout, environment, and reward components for production-scale runs.
You will own end-to-end tooling for reliable, fast RL loops and collaborate with researchers to turn ideas into robust, scalable implementations.
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RL Infrastructure Engineer - Scale & Post-Training Systems employer: AItoolnavio
At Luma, we are committed to fostering a dynamic and innovative work environment where cutting-edge research meets practical application. As a Research Scientist/Engineer focusing on Reinforcement Learning Infrastructure, you'll have the opportunity to work with state-of-the-art technology while collaborating with a team of experts dedicated to pushing the boundaries of AI. Our culture promotes continuous learning and growth, ensuring that you can advance your career while contributing to meaningful projects that shape the future of intelligence.
