Staff GenAI RL Research Scientist — Post-Training

Scale AI, Inc.; New York (NY); On-site; USD 265,000 - 331,000; Full time

Benefits offered by this job

Health, dental and vision coverage

Retirement benefits

Learning & development stipend

Generous PTO

Job summary

Scale AI, Inc. is seeking a Staff Machine Learning Research Scientist focused on post-training agent training for our Enterprise GenAI efforts in New York.

You will build and scale an Agent RL training platform to deploy best-in-class Agents for enterprise use-cases. You will integrate cutting edge research into our training stack, enabling MLREs to support applications spanning cybersecurity, healthtech search models, and other enterprise domains.

Qualifications

• 5+ years of LLM training in a production environment.
• Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO.
• 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.

Skills

LLM training

Post-training methods

PPO/GRPO

Publications NEURIPS/ICML

PhD or Masters in CS

Education

PhD or Masters in CS

Tools

RLHF/RLVR

Job description

Scale AI, Inc. is seeking a Staff Machine Learning Research Scientist focused on post-training agent training for our Enterprise GenAI efforts in New York.

You will build and scale an Agent RL training platform to deploy best-in-class Agents for enterprise use-cases. You will integrate cutting edge research into our training stack, enabling MLREs to support applications spanning cybersecurity, healthtech search models, and other enterprise domains.