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 with llms
Proficiency in pytorch jax or tensorflow
Track record of published research in top ml venues
The role focuses on studying data types essential for building state-of-the-art agents such as browser and SWE agents
Job Summary
The role focuses on studying 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 and collaborate with customer researchers to translate advancements into scalable solutions.
Compensation packages include base salary ranging from $259,200 to $324,000 USD plus equity and comprehensive benefits.
Matching Summary
The role focuses on studying 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 with LLMs
Proficiency in Pytorch Jax or Tensorflow
Track record of published research in top ML venues
Three years experience addressing sophisticated ML problems
Nice-to-have
Hands-on experience with open source LLM fine-tuning
Publications in building AI agent applications
Experience with agent frameworks like OpenHands or LangGraph
Familiarity with agentic reasoning methods such as STaR
Cloud technology stack experience AWS or GCP
Key Requirements
At least three years of experience in ML research or product development
Published research in top ML venues like NeurIPS ICML ICLR