Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI
About The Position
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As a Staff Agent Post-Training MLRE, you will build out our next-gen Agent RL training platform. You'll build out the platform that will train best-in-class Agents that achieve state of the art results on real enterprise use-cases. You'll integrate cutting edge research into our training stack, enabling MLREs on the Enterprise AI team to deploy use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you!
Requirements
- 5+ years of LLM training 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
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.
- Design solutions that enable complex multi-agent systems to directly learn from both process + outcome based rewards.
Benefits
- Comprehensive health, dental and vision coverage
- Retirement benefits
- A learning and development stipend
- Generous PTO
- This role may be eligible for additional benefits such as a commuter stipend.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
Education Level
Ph.D. or professional degree
Number of Employees
501-1,000 employees
