**About Fundamental** --------------------- We’re building the best **Large Tabular Model**, a foundation model designed to universalize knowledge for advanced tabular predictions. We’re transforming how enterprises leverage their tabular data, unlocking unprecedented possibilities for analytics in major industries like finance, healthcare, and advertising. Our research team includes world\-class AI experts from DeepMind, INRIA and Ecole Polytechnique. Funded at the top 0\.1% level for a seed round by leading investors, we are rapidly growing and expanding our engineering team to push the boundaries of what's possible in tabular AI. **Key Responsibilities** ------------------------ The greatest research is done through solid engineering. As part of the research team, you will contribute to ideation, designing, implementing, evaluating and finally deploying breakthrough machine learning models. Your work will be focused on the entire lifecycle of the models and you will be responsible for their performance in every meaning of this word \- achieving high evaluation scores, being efficient to train and producing fast predictions. At the same time you will contribute to the evaluation protocols themselves, as well as ensuring that our research code allows swift, rapid development and testing of the new ideas \- both your own and your colleagues. **Required Qualifications** --------------------------- * Strong fundamentals of software engineering * Strong knowledge of Python, and its ML frameworks * Experience with: + Full lifecycle of AI model development + ML infrastructure frameworks and tools + Developing new ML methods, algorithms and models + GPUs (or TPUs) and distributed training + Scaling up models and training regimes * Knowledge of: + Classical ML methods and algorithms + Deep Learning techniques **Nice to have** ---------------- * Experience with foundational models, e.g. LLMs * Published research at AI conferences * Contributions to open source ML projects * Experience working with tabular data / predictive analytics * High Kaggle rank * BSc/MSc/PhD in computer science/machine learning We are not expecting you to have all the experience listed in the above section, it is simply a non exhaustive list of additional experience that we really value which will be relevant/well aligned with your future role. **Perks** --------- * Access to cutting\-edge research tools and resources to grow alongside our world\-class team * Medical, dental, and vision insurance * Beach front office with the views of the Mediterranean * Be part of the founding team at one of the most promising AI startups, revolutionizing an entire category