Scale AI is a leading AI data foundry focused on accelerating the development of AI applications. They are seeking a Machine Learning Research Engineer to work on applying proprietary algorithms to real life enterprise datasets and develop state-of-the-art models 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
- A 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 https://scale.com.Company H1B Sponsorship
Scale AI has a track record of offering H1B sponsorships, with 11 in 2026, 81 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.