Senior / Staff Machine Learning Research Scientist, Agents
Scale
San Francisco, CA, US
Base: $302,400 - $378,000 usd; equity: included ba...
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 and collaborate with customer researchers to translate advancements into scalable solutions.
Compensation packages include base salary ranging from $302,400 to $378,000 USD, 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: $302,400 - $378,000 USD; Equity: Included based on Board approval; Benefits: Comprehensive health, dental, vision, retirement, stipends, and 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
Key Requirements
Published research in top ML venues (ACL, NeurIPS, etc.)
Three years of experience in sophisticated ML problems
Proficiency in deep learning frameworks like Pytorch or Jax