ML Research Engineer, ML Systems
Scale AI · Research
- Location
- San Francisco, CA; Seattle, WA; New York, NY
- Metro
- San Francisco Bay Area, Seattle, New York City
- Workplace
- Unspecified
- Level
- Unspecified
- Type
- Unspecified
- Pay
- $190K–$237K/yr (estimated from posting text)
- Posted
- 20 months ago
- Source
- Greenhouse
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What the posting covers
About the company
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,…
You will
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…
Ideally you’d have
Strong excitement about system optimization Experience with multi-node LLM training and inference Experience with developing large-scale distributed ML systems Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch,…
Nice to haves
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. Compensation packages at Scale for eligible roles include base…
About Us
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy,…
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