Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers.

Research cutting edge algorithms to integrate directly into our training stack.

Design solutions that enable complex multi-agent systems to directly learn from both process + outcome based rewards.

Ideally you’d have:

5+ years of LLM training in a production environment

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

Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years

PhD or Masters in Computer Science or a related field

Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI

Responsibilities