The opportunity
Scale’s ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality.
What you'll do
Build, profile and optimize our training and inference framework
Collaborate with ML teams to accelerate their research and development and: enable them to develop the next generation of models and data curation
Research and integrate state-of-the-art technologies to optimize our ML system
Strong excitement about system optimization
Experience with multi-node LLM training and inference
Experience with developing large-scale distributed ML systems
What they're looking for
- Strong software engineering skills, proficient in frameworks and tools such: as CUDA, Pytorch, transformers, flash attention, etc.
- Strong written and verbal communication skills and the ability to operate in: a cross functional team environment
- Demonstrated expertise in post-training methods &/or next generation use: cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.
