[Remote] Machine Learning Research Engineer, Agents - Enterprise GenAI
Note: The job is a remote job and is open to candidates in USA. Scale AI is a leading AI data foundry focused on accelerating the development of AI applications. The Machine Learning Research Engineer will work on applying agent reinforcement learning algorithms to enterprise datasets, creating best-in-class agents that achieve state-of-the-art results.
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
- Equity based compensation, subject to Board of Director approval
- Comprehensive health, dental and vision coverage
- Retirement benefits
- A learning and development stipend
- Generous PTO
- A commuter stipend
Company Overview
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