Senior / Staff Machine Learning Research Scientist, Agents

Scale AI

San Francisco, CA, US
Base: $259,200 - $324,000 usd; equity: granted sub...
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, guiding the data strategy to drive innovation.
  • Compensation packages include base salary ranging from $259,200 to $324,000 USD, 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: Granted subject to Board approval; Benefits: Comprehensive health, dental, vision, retirement, 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
  • Publications in building applications related to AI agents
  • Experience with agent frameworks such as OpenHands or LangGraph
  • Familiarity with agentic reasoning methods like STaR
  • Experience working with cloud technology stack AWS or GCP

Key Requirements

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

Work Rights

Not specified

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