Job Description
Scale AI is a leading AI data foundry on a mission to accelerate the development of AI applications. As a Machine Learning Research Engineer focusing on Agents, you will work on applying advanced algorithms to real-life enterprise datasets and develop best-in-class agents for enterprise 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 Skills 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 Benefits
Comprehensive health, dental and vision coverage Retirement benefits A learning and development stipend Generous PTO Commuter stipend Company Overview Scale’s mission is to develop reliable AI systems for the world’s most important decisions.
It was founded in 2016, and is headquartered in San Francisco, California, USA, with a workforce of 501-1000 employees. Its website is Company H1B Sponsorship Scale AI has a track record of offering H1B sponsorships, with 82 in 2025, 54 in 2024, 29 in 2023, 17 in 2022, 10 in 2021, 10 in 2020. Please note that this does not guarantee sponsorship for this specific role.