Senior / Staff Machine Learning Research Scientist, Agents

Scale AI

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 role focuses on studying the data types essential for building state-of-the-art agents such as browser and SWE agents

Job Summary

  • The role focuses on studying the data types essential for building state-of-the-art agents such as browser and SWE agents.
  • Candidates will contribute to impactful research publications on agents while collaborating with customer researchers and engineering teams.
  • Compensation includes a base salary range of $259,200 to $324,000 USD along with equity and comprehensive benefits.

Matching Summary

The role focuses on studying the data types essential for building state-of-the-art agents such as browser and SWE agents.

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 such as 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

Tailored Resume

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