Machine Learning Research Engineer, Agents - Enterprise Genai
Scale
San Francisco, CA, US
Base: $250,000 - $350,000 usd; equity: included ba...
On-site
1-3 years llm production experience
Experience with rlhf and rlvr algorithms
Knowledge of ppo and grpo methods
The role involves applying proprietary agent-building algorithms to create best-in-class agents that achieve state-of-the-art results on enterprise datasets
Job Summary
The role involves applying proprietary agent-building algorithms to create best-in-class agents that achieve state-of-the-art results on enterprise datasets.
Candidates will research cutting-edge algorithms to integrate directly into the company's training stack and train models developed internally or from the community.
Scale offers a competitive compensation package including base salary, equity, comprehensive health benefits, and a learning and development stipend.
Matching Summary
The role involves applying proprietary agent-building algorithms to create best-in-class agents that achieve state-of-the-art results on enterprise datasets.
Salary
Base: $250,000 - $350,000 USD; Equity: Included based on Board approval; Benefits: Comprehensive health, dental, vision, retirement, and PTO
Skills & Requirements
Must-have
1-3 years LLM production experience
Experience with RLHF and RLVR algorithms
Knowledge of PPO and GRPO methods
Nice-to-have
Publications in NEURIPS, ICLR, or ICML
PhD or Masters in Computer Science
Experience building multi-agent systems
Key Requirements
1-3 years building with LLMs in production
PhD or Masters in Computer Science
Publications in top conferences within last two years