Stage 2027 AI/ML Engineer 100% R&D - Tabular foundation models

Our mission is to help companies audit their data opportunities, enhance their analytical capital, and deploy actionable solutions that maximize their marketing and operational performance while reinvigorating business models. Our absolute focus is on delivering short-term gains while ensuring the long-term development of our clients' data capital.

We are committed to offering the most advanced data science approaches and building ethical, sustainable AI practices. The department comprises several PhD experts in generative AI, deep learning, computer vision, time series, explainability, and causality. Each expert leads teams tasked with studying and building state-of-the-art methods and adapting them to specific business problems, developing new methodologies or algorithms to address identified challenges, and ensuring a seamless handover for integration within Ekimetrics' industrial ecosystem.

A central focus of the Innovation Department is closing the gap between cutting-edge AI agents and the day-to-day reality of delivering data science at scale. The department is investing in agentic systems that accelerate the data science lifecycle while keeping data scientists firmly in control of quality, governance, and business relevance.

This internship sits at the heart of that effort, combining applied AI research with production-grade engineering on Ekimetrics' modern data stack. Internship Objective: From Latent Reasoning to Better and More Understandable Tabular Models Tabular Foundation Models (TFMs) such as TabPFN, TabICL or TabDPT are transformers pre-trained on large collections of mostly synthetic datasets.