Scale AI
Tech Lead Manager- MLRE, ML Systems
$290K–$363K
San Francisco, CA +2 · Manager · Full-time · Posted Oct 10, 2025
- Location
- San Francisco, CA
New York, NY
San Francisco, California, United States
About the job
Build and optimize Scale’s distributed platform for LLM post-training, training, inference, and data curation.
What you'll do
- Build, profile, and optimize training and inference frameworks.
- Partner with ML and research teams to accelerate research and development of models and data curation.
- Research and integrate state-of-the-art technologies to optimize ML systems.
What they ask for
- Experience with multi-node LLM training and inference.
- Experience developing large-scale distributed ML systems.
- Experience with post-training methods such as RLHF/RLVR and related algorithms such as PPO/GRPO.
- Strong software engineering skills and communication skills; proficiency with relevant frameworks and tools.
Nice to have
- Expertise in post-training methods and/or LLM use cases such as instruction tuning, RLHF, tool use, reasoning, agents, and multimodal.
Pay
$290,400–$363,000 USD base salary
Tools
CUDA, Pytorch, transformers, flash attention, RLHF, RLVR, PPO, GRPO
AI focus
Develop and optimize systems for LLM training, inference, post-training, evaluation, and data curation.
Model-written summary · the original posting is authoritative