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.

Build agents that leverage our proprietary agent-building algorithms to automatically hill climb datasets – including defining highly performant tools, multi-agent systems, and complex rewards.

Ideally you’d have:

1-3 years of building with LLMs 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

Machine Learning Research Engineer, Agents - Enterprise GenAI

Responsibilities

Qualification

Required

Benefits

Company

Scaleai

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