Senior / Staff Machine Learning Research Scientist, Agents

Scale

San Francisco, CA, US
Base: $259,200 - $324,000 usd; equity: subject to ...
On-site
Practical experience working with llms
Proficiency in pytorch jax or tensorflow
Track record of published research in top ml venues
The ACE team focuses on autonomous agents that dynamically interact with diverse external environments including code repositories and browsers

Job Summary

  • The ACE team focuses on autonomous agents that dynamically interact with diverse external environments including code repositories and browsers.
  • This role is at the intersection of cutting-edge AI research and practical application, requiring expertise in LLM agents and planning algorithms.
  • Compensation packages include base salary ranging from $259,200 to $324,000 USD plus equity and comprehensive benefits.

Matching Summary

The ACE team focuses on autonomous agents that dynamically interact with diverse external environments including code repositories and browsers.

Salary

Base: $259,200 - $324,000 USD; Equity: Subject to Board approval; Benefits: Comprehensive health, dental, vision, retirement, learning stipend, PTO

Skills & Requirements

Must-have

  • Practical experience working with LLMs
  • Proficiency in Pytorch Jax or Tensorflow
  • Track record of published research in top ML venues
  • At least three years of experience addressing sophisticated ML problems

Nice-to-have

  • Hands-on experience with open source LLM fine-tuning
  • Experience building applications related to AI agents
  • Familiarity with agentic reasoning methods such as STaR
  • Experience with agent frameworks like OpenHands or LangGraph
  • Cloud technology stack experience on AWS or GCP

Key Requirements

  • Published research in top ML venues (ACL, NeurIPS, etc.)
  • Three years of experience in ML research or product development
  • Strong written and verbal communication skills

Work Rights

Not specified

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