Member of Technical Staff - Evaluations

About the role

Critical comparative analysis to advance our understanding of model capabilities
Build and refine evaluation systems and processes that create tight feedback loops between data, evals, and model behavior
Develop generalizable evaluation frameworks that capture what matters for reasoning, alignment, and usefulness
Collaborate closely with pre-training, post-training, and applied teams to translate insights into model improvements
Push the boundaries of what’s measurable, from synthetic evals to human feedback and real-world interaction data.

Requirements

Strong statistical analysis and experimental design skills to rigorously measure model improvements
Familiarity with LLM evaluation methodologies: static benchmarks, human preference evals, and/or agentic tasks
High agency and thrive in a fast-paced startup environment; bias for impact over process
Excited to work in a new frontier lab, defining how we measure and accelerate progress toward more capable models
Collaborative, detail-oriented, and motivated by building the feedback loops that make models truly improve.

Qualifications

PhD in Computer Science, Statistics, Machine Learning, or a related field
Experience with large language models and evaluation methodologies
Strong communication and collaboration skills

Skills

Statistical analysis and experimental design
LLM evaluation methodologies: static benchmarks, human preference evals, and/or agentic tasks

Benefits

Top-tier compensation
Stock options
Health & wellness
Meals
Life & family
Vacation days
Sponsorship support
Team building

Pay

Salary and equity structured to recognize and retain our talent globally

Schedule

Unlimited paid time off in the U.S. and 30 days in the U.K.