Luma is seeking a systems engineer to own large-scale model serving and inference pipelines. You will integrate new architectures into the inference engine, scale deployments across thousands of machines, and keep GPU fleets busy while meeting internal SLOs.
You’ll work on scheduling, fleet management, and reliable deployment pipelines across clusters, with a strong emphasis on efficiency and uptime. This is the systems side of ML, not pure modeling.
#J-18808-Ljbffr
Inference Systems Engineer (GPU/Cluster Scaling) in London 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.
