Luma in the United Kingdom is building RL systems at frontier scale, coupling policy optimization with thousands of GPUs. You will design, build, and scale post-training pipelines that coordinate trainer, rollout, environments, and reward workloads.
We seek someone with hands-on experience training LLMs with RL, expertise in distributed PyTorch, and familiarity with inference engines like vLLM and SGLang. You’ll help harden the loop, improve throughput, and ship robust evaluation tools.
#J-18808-Ljbffr
RL Systems Engineer: Scalable Post-Training Infrastructure employer: Luma
At Luma AI, we pride ourselves on being an innovative employer that fosters a dynamic and collaborative work culture. As an Executive Assistant in the UK, you will play a pivotal role in shaping our operational strategies while enjoying opportunities for personal and professional growth in a fast-paced environment. With a commitment to expanding human imagination through cutting-edge technology, we offer a unique chance to make a meaningful impact alongside a passionate team dedicated to transforming the creative landscape.