Machine Learning Research Engineer, Agents - Enterprise GenAI
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Summary
About the Role
About You
- 1-3 years of experience building with LLMs in a production environment.
- Experience with post-training methods like RLHF/RLVR and related algorithms such as PPO/GRPO.
- PhD or Masters in Computer Science or a related field.
- Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years.
Benefits
- Comprehensive health, dental, and vision coverage.
- Retirement benefits.
- Learning and development stipend.
- Generous PTO.
- Potential commuter stipend.
At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data. The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment. Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea.