Senior LLM Evaluation Scientist

cohere; New York (NY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Lunch stipend

Health benefits

RRSP matching

Parental leave

Learning stipend

Vacation time

Travel to offices

Home office stipend

Job summary

Cohere is seeking a Senior Research Scientist, Model Evaluation, to create ambitious evaluation benchmarks and scale evaluation infrastructure for enterprise AI. You will work with cross-functional teams to translate model feedback into trustworthy measurements and to push the frontiers of LLM evaluation.

The role emphasizes rigorous measurement, practical tooling, and collaboration across research and engineering, with remote-friendly policies and opportunities to influence model evaluation at

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.

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.

Skills

Prototype building

LLM evaluation

Data quality

Software engineering

Job description

Cohere is seeking a Senior Research Scientist, Model Evaluation, to create ambitious evaluation benchmarks and scale evaluation infrastructure for enterprise AI. You will work with cross-functional teams to translate model feedback into trustworthy measurements and to push the frontiers of LLM evaluation.

The role emphasizes rigorous measurement, practical tooling, and collaboration across research and engineering, with remote-friendly policies and opportunities to influence model evaluation at