Evaluations Engineer

About the Role

We are looking for strong engineers to join our team and own the leaderboards that appear on Vals AI.

You will be responsible for testing and benchmarking new models as they are released on tasks in law, tax, coding, finance, and more. You will analyze error modes of models, evaluate their strengths and weaknesses, and work with our communications team to release results.

Our results are used by startups, enterprises, and research labs alike. We work with all the major foundation model labs, some of the largest financial institutions, and hospital systems in the world. Our work has been featured by the Wall Street Journal, Washington Post, and Bloomberg.

We are building the standard for evaluating the ability of LLMs to perform real-world tasks. You will contribute directly to the leaderboards that make this possible.

What You’ll Do

Evaluate new LLM model releases across the Vals AI suite of benchmarks

Work directly with both open-source and closed-source foundation model labs in evaluating model performance

Use tools like Docent to analyze common failure modes and patterns in model performance

Work directly with our social media team to post interesting findings and results

Add new models and maintain integrations in our model library

Help improve and maintain the infrastructure we use to run benchmarks (agentic and non-agentic).

Collaborate closely with our research team on the creation of new benchmarks

This role follows the rhythm of model releases. Expect intense sprints in the days following a major launch, and calmer stretches in between releases.