Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI

Scale AI
San Francisco, California, United States
Full Time
On Site
Senior
USD 180,600 – 315,000
Postgraduate Degree
Technology Information Technology Telecommunications

Posted 2 days ago

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Excellent 4.7

Job summary

The role involves building and integrating state-of-the-art AI models and algorithms for enterprise applications, focusing on post-training methods like RLHF/RLVR and multi-agent systems, requiring extensive experience in LLM training and research.

Responsibilities

Train state of the art models for enterprise customers and research cutting edge algorithms for integration into the training stack. Design solutions for complex multi-agent systems to learn from process and outcome based rewards.

Qualifications

Algorithm Development Large Language Models ML Research Multi-agent Systems PPO/GRPO Reinforcement Learning Research Publication RLHF/RLVR

Candidates should have 5+ years of experience in LLM training and familiarity with post-training methods like RLHF/RLVR. A PhD or Masters in Computer Science or a related field is preferred, along with recent publications in top conferences.

English

Benefits

  • Comprehensive Health Coverage
  • Dental Coverage
  • Vision Coverage
  • Retirement Benefits
  • Learning And Development Stipend
  • Generous PTO
  • Commuter Stipend

Company

Scale AI

Scale AI

linkedin
Software Development
Location
San Francisco, California, United States
Website
scale.com

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Excellent 4.7
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