Ml Research Engineer, Ml Systems
Scale AI- Location
- Seattle, WA
- Work mode
- Remote
- Type
- full time
- Listed
Applications go directly to Scale AI. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
ML Research Engineer, ML Systems at Scale AI builds and optimizes the internal distributed framework (RLXF) for large language model training and inference. This involves profiling and optimizing the training and inference framework, collaborating with ML teams, and researching/integrating state-of-the-art technologies to enhance the ML system.
Skills and focus areas
- system optimization
- multi-node llm training and inference
- large-scale distributed ml systems
- software engineering
- cuda
- pytorch
- transformers
- flash attention
- written and verbal communication
- cross-functional team collaboration
- post-training methods
- instruction tuning
Summary written by Ramai from the original posting. Full details and requirements are on Scale AI’s careers page.
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Data-centric infrastructure to accelerate the development of AI
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