Machine Learning Research Engineer, Agents -… at Scale AI · San…

Summary: Scale AI is a leading AI data foundry focused on accelerating the development of AI applications. The Machine Learning Research Engineer will apply agent reinforcement learning algorithms to enterprise datasets, creating state-of-the-art models for clients. Responsibilities: - 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 Required Qualifications: - 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 Required Skills: LLMs production experience, post-training methods, PPO/GRPO algorithms Important Skills: publications in conferences, PhD, Masters in CS Benefits: Comprehensive health, dental and vision coverage, Retirement benefits, A learning and development stipend, Generous PTO, A commuter stipend