Luma seeks an engineer to build distributed systems for training large-scale multimodal models across thousands of GPUs, enabling researchers to focus on innovation atop reliable, efficient infrastructure.
You will tackle PyTorch, CUDA, and distributed training challenges, implementing advanced parallelism (FSDP, Tensor Parallel, Pipeline, Expert Parallel) and developing monitoring/tools to keep runs scalable and stable.
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As a Distributed ML Infrastructure Engineer for Large-Scale Models, you will play an important part at Lumaai in Greater London, England, United Kingdom.
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the Distributed ML Infrastructure Engineer for Large-Scale Models role in the description above.
We appreciate your interest in this position.
Join Lumaai and contribute to our ongoing work.