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

Ekimetrics· Paris – Data Science & AI /
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Hybrid (Paris)€1.8k/moInternPosted 4d ago

About the role

Internship in the Innovation Department focusing on Latent Reasoning for Tabular Foundation Models, combining applied AI research with production-grade engineering on Ekimetrics' modern data stack. Gain experience at the intersection of tabular modeling, latent reasoning and interpretability, with potential pathway to full-time roles or PhD.

Responsibilities

  • Review the literature on latent reasoning (NLP) and tabular foundation models, building on recent surveys.
  • Identify and adapt latent reasoning mechanisms to TFM architectures (e.g. iterative depth-wise computation, hidden-state reuse).
  • Implement them on open-source TFMs and measure their effect on accuracy, calibration and robustness against strong baselines (gradient boosting, standard TFMs) at comparable compute.
  • Apply interpretability methods (representation analysis, probing, activation patching) to characterize the computation performed during latent reasoning.
  • Build an evaluation protocol on diverse tabular datasets, including realistic business cases.
  • Document the results and contribute to scientific publications.

Qualifications

  • Currently in the final year of a Master’s or Engineering degree, with strong foundations in machine learning, statistics, and programming.
  • Good grasp of model validation: train/test splits, data leakage, baselines.
  • Strong analytical skills and the ability to work autonomously on an open-ended research problem.
  • Knowledge of transformers and language models; familiarity with latent reasoning or recurrent-depth models is a plus.
  • Strong Python and PyTorch skills, and a solid command of the standard data science toolkit (pandas/polars, scikit-learn, gradient-boosting libraries).
  • Fluency in English is a plus.
  • Nice to have: experience in interpretability, knowledge of TabPFN, TabICL or TabDPT, and solid software engineering practices (git, code review, testing).

Skills

Required:Literature review and synthesisLatent reasoning mechanisms for TFMsImplementation on open-source TFMsEvaluation protocol designPython and PyTorchData handling tools
Nice to have:Interpretability methodsCommunication and publication

Benefits

  • Hands-on Research & Engineering Experience: Build a pioneering agentic system on real data science workflows, contributing to a tool with direct real-world impact.
  • Collaborative Learning: Engage with a team of data scientists, AI experts, and PhDs in a dynamic, research-driven environment within Ekimetrics' Innovation Department.
  • Skill Development: Gain expertise in LLM agents, the evaluation of AI systems, and production tooling on Databricks (Unity Catalog, MLflow).
  • Career Growth: Opportunity to transition into a full-time Data Scientist role in AI at Ekimetrics, or into a PhD program, upon successful completion of the internship.
  • Scientific Contribution: Opportunity to co-author and publish scientific papers in reputable AI and data science conferences and journals.
  • Networking: Collaborate with Ekimetrics' industrial and academic partners, enhancing your professional network in the AI research community.
  • Ethical and Sustainable AI: Learn to develop AI solutions that align with ethical, governed, and sustainable best practices, a core commitment of Ekimetrics.
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Ekimetrics

AI Business Solutions – Ekimetrics

Ekimetrics provides AI business solutions, enhancing business operations and driving efficiency through data and AI solutions.

AIBusiness SolutionsData AnalyticsMarketing & Commercial EffectivenessCustomer AnalyticsOperational ExcellenceAI for Sustainability
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