Scale AI
ML Research Engineer, ML Systems
$190K–$237K
San Francisco, CA +3 · Full-time · Posted Mar 10, 2025
- Location
- San Francisco, CA
Seattle, WA
New York, NY
San Francisco, California, United States
About the job
Build and optimize Scale’s distributed ML platform for large language model training, inference, evaluation, and data curation.
What you'll do
- Build, profile, and optimize training and inference frameworks.
- Collaborate with ML teams to accelerate research and develop models and data curation capabilities.
- Research and integrate technologies to optimize ML systems.
What they ask for
- Experience with multi-node LLM training and inference.
- Experience developing large-scale distributed ML systems.
- Strong software engineering skills and proficiency with relevant frameworks and tools.
- Strong written and verbal communication skills; ability to work cross-functionally.
Nice to have
- Expertise in LLM post-training methods or next-generation use cases such as instruction tuning, RLHF, tool use, reasoning, agents, and multimodal applications.
Pay
$189,600 — $237,000 USD (base salary)
Tools
CUDA, Pytorch, transformers, flash attention
AI focus
Develop and optimize systems for LLM training, inference, evaluation, and data curation; integrate state-of-the-art ML technologies.
Model-written summary · the original posting is authoritative