About FundamentalFundamental is an AI research lab pioneering the future of enterprise decision-making. Our flagship model, NEXUS is the world's most powerful Large Tabular Model (LTM)
- purpose-built for the structured records that contain trillions of dollars in business value. With $275m in funding from leading investors and trusted by Fortune 100 companies, Fundamental is giving businesses the Power to Predict.
About FundamentalFundamental is an AI research lab pioneering the future of enterprise decision-making. Our flagship model, NEXUS is the world's most powerful Large Tabular Model (LTM)
- purpose-built for the structured records that contain trillions of dollars in business value. With $275m in funding from leading investors and trusted by Fortune 100 companies, Fundamental is 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.

Key Responsibilities
As part of the Research team, you will contribute to ideation, designing, implementing, and evaluating breakthrough Machine Learning models that will be deployed in the real world. Your work will be focused on the entire lifecycle of the models. Alongside the rest of the ML researchers in the team, you will be responsible for our models’ performance in every meaning of this word




- whether this means achieving high evaluation scores through novel architectures and training methods, establishing the evaluation protocols themselves, or implementing methods that allow for efficient training and inference. The greatest research is done through solid engineering, so alongside the research you will also take part in ensuring that our research code allows swift, rapid development and testing of new ideas
- both your own and the rest of the team’s.
Must haveStrong familiarity with the full research cycle in Machine LearningStrong fundamentals of software engineeringStrong knowledge of Python, and its ML frameworksExperience with:Full lifecycle of AI model developmentML infrastructure frameworks and toolsDeveloping new ML methods, algorithms and modelsGPUs (or TPUs) and distributed trainingScaling up models and training regimesKnowledge of:Classical ML methods and algorithmsDeep Learning techniquesExpertise in at least one of the following:Tabular models, time series models, relational foundation models, structured data, large-scale foundation modelsNice to havePublished research at AI conferencesContributions to open source ML projectsExperience working with tabular data / predictive analyticsHigh Kaggle rankBSc/MSc/PhD in computer science/machine learningBenefitsCompetitive compensation with salary and equityComprehensive health coverage for you and your dependentsPaid parental leave for all new parents, inclusive of adoptive and surrogate journeysRelocation support for employees moving to join the team in one of our office locationsA mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action

📌 ML Researcher (Barcelona)
🏢 Fundamental
📍 Barcelona