Lumaai is hiring to build systems that power reinforcement learning at frontier scale. You will design and scale post-training RL stacks across thousands of GPUs, orchestrating trainer, rollout, environment, and reward workloads with high-throughput throughput and verifiable rewards.
You will develop RL environments, reward models, and evaluation harnesses for LLM agents, leveraging vLLM, SGLang, and Ray ecosystems. Expect deep collaboration with researchers to push stability and efficiency.
#J-18808-Ljbffr
RL Infrastructure Architect — Large-Scale Training Systems employer: Lumaai
Luma is an exceptional employer for Creative Technologists, offering a dynamic work environment where innovation meets hands-on creativity. With a strong focus on employee growth and collaboration, team members are encouraged to push the boundaries of generative AI while working closely with sales and creative teams. Located in the UK, Luma fosters a culture of inclusivity and support, ensuring that every employee has the opportunity to thrive and make a meaningful impact in the world of technology and creativity.
