Senior Research Scientist, Model Evaluation

Who are we?

Role Overview

Evaluation is critical to making progress in scaling intelligence. As models continue to become superhuman in many real-world use cases, we must continue to develop new evaluation techniques that accurately reflect what models are already capable of, as well as set the agenda for what future models should be capable of. In this role, you are responsible for creating these next-generation evaluation methods and infrastructure to measure LLM progress.

Key

Responsibilities

• Create ambitious new evaluation benchmarks that push the limits of what our models can accomplish.
• Work on highly cross-functional teams to translate model feedback into trustworthy, repeatable evaluations.
• Conduct research to advance the state-of-the-art in LLM evaluation methods, including training LLM judges; refining LLM-based data synthesis pipelines; and improving evaluation efficiency.
• Build scalable and reusable tools for digging into model performance.

Qualifications

• You enjoy rapidly building prototypes that demonstrate the boundaries of what LLMs are capable of, and you have developed resources to measure those capabilities.
• You have spent dozens of hours reviewing complex data and LLM outputs to ensure high data quality.
• You are obsessive about rigorously measuring AI capabilities, and also about making sure your measurements actually align with the capabilities you care about.
• You have strong software engineering skills.

Working Location

This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.