About Fundamental
Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS – the world's most powerful Large Tabular Model (LTM) – purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by giving businesses the Power to Predict.

At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI.

We are looking for a Machine Learning Researcher - Evaluations to establish the ground truth for what our models can actually do. In this role, you will take ambiguous, real-world data challenges and translate them into concrete, defensible metrics that our researchers and leadership can trust.





Evaluation is not an afterthought here; it is the engine that drives our research roadmap. Working alongside our core researchers, you will be embedded in the entire lifecycle of model development. This means taking signals from our internal deployment teams to define what matters, tracking performance across live training runs, and decoding the final results. If you are obsessed with empirically measuring exactly why a model fails and where it excels, this role is for you.

Key responsibilities
- Develop Signal-Driven Evals: Design and implement rigorous evaluation frameworks. You will translate real-world requirements gathered internally into measurable metrics that accurately reflect downstream use cases.
- Own the Evaluation Infrastructure: Build, scale, and maintain the internal Python pipelines and datasets used to stress-test our models on a day-to-day basis.
- Explore External Benchmarks: Scout

📌 ML Researcher (Barcelona)
🏢 Fundamental
📍 Barcelona