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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Distributed ML Infrastructure Engineer for Large-Scale Models 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.
