Senior Research Scientist, Model Evaluation

Why this role?

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.

What You'll Do

• 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, and you have developed resources to measure those capabilities.
• Have spent dozens of hours reviewing complex data and LLM outputs to ensure high data quality.
• Be obsessive about rigorously measuring AI capabilities, and also about making sure your measurements actually align with the capabilities you care about.
• Have strong software engineering skills.

Qualifications

• PhD in Computer Science, Artificial Intelligence, or a related field.
• Experience with large language models and evaluation methods.
• Strong background in machine learning, natural language processing, and/or computer vision.
• Experience with software development and programming languages such as Python, Java, or C++.

Benefits

• A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
• Full health and dental benefits, including a separate budget for mental health.
• RRSP matching, 401K, Pension Scheme.
• 100% Parental Leave top-up for up to 6 months, for either parent.
• Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
• Education & learning stipend for conferences, courses, and coaching.
• 6 weeks of paid vacation (30 working days!).
• Budget for traveling to other offices if you are remote, plus an annual company offsite.

How and Where We Work

• Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon.
• For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
• For those not near an office: a co-working benefit so you can work alongside others in your city.
• Everyone receives a $500 home office stipend to set up your workspace properly.