Tech Lead Manager- MLRE, ML Systems

Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.

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, and oversee AI applications that deliver real impact.

We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S.

government agencies including the Army and Air Force.

We are expanding our team to accelerate the development of AI applications.

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Experience with multi-node LLM training and inference

Experience with developing large-scale distributed ML systems

Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.

Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.

Strong written and verbal communication skills to operate in a cross functional team environment.