[ research ]
Research Scientist / Engineer – Training Infrastructure
Luma Labs- Location
- Remote
- Work mode
- Remote
- Type
- full time
- Listed
Applications go directly to Luma Labs. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
Research Scientist / Engineer at Luma Labs focused on building and optimizing distributed systems for training large-scale multimodal models across thousands of GPUs. This role involves advanced PyTorch, CUDA, and distributed systems work, including parallelism, training stability, and utilization.
Skills and focus areas
- distributed systems
- pytorch
- cuda
- large-scale model training
- foundation model training
- fsdp
- tensor parallelism
- pipeline parallelism
- expert parallelism
- training stability
- resource utilization
- monitoring tools
Summary written by Ramai from the original posting. Full details and requirements are on Luma Labs’s careers page.
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