Base: $252,000 - $315,000 usd; equity: included ba...
On-site
Practical experience working with llms
Published research in top ml venues
Three years solving complex ml challenges
Scale AI is expanding its capabilities to set new standards for public and private evaluations while accelerating the development of Artificial General Intelligence
Job Summary
Scale AI is expanding its capabilities to set new standards for public and private evaluations while accelerating the development of Artificial General Intelligence.
The ideal candidate will study data types critical for advancing LLM-based agents, including browser and software engineering agents, to improve reasoning capabilities.
Our research interviews are designed to assess candidates' ability to prototype and debug ML models without conducting LeetCode-style problem-solving assessments.
Matching Summary
Scale AI is expanding its capabilities to set new standards for public and private evaluations while accelerating the development of Artificial General Intelligence.
Salary
Base: $252,000 - $315,000 USD; Equity: Included based on Board approval; Benefits: Comprehensive health, dental, vision, retirement, learning stipend, PTO
Skills & Requirements
Must-have
Practical experience working with LLMs
Published research in top ML venues
Three years solving complex ML challenges
Proficiency in PyTorch JAX or TensorFlow
Ability to turn research into prototypes
Nice-to-have
Experience fine-tuning open-source LLMs
Building applications with LLM-based agents
Familiarity with STaR and PLANSEARCH techniques
Experience with OpenHands Swarm or LangGraph
Cloud-based ML development on AWS or GCP
Key Requirements
At least three years of experience in ML research or product development
Track record of published research in top ML and NLP venues