This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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.
Job Responsibility:
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
Requirements:
Enjoy rapidly building prototypes that demonstrate the boundaries of what LLMs are capable of
Have developed resources to measure LLM capabilities
Have spent dozens of hours reviewing complex data and LLM outputs to ensure high data quality
Obsessive about rigorously measuring AI capabilities and ensuring measurements align with the capabilities you care about
Have strong software engineering skills
What we offer:
An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend