Foundation Models

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Paris, Île-de-France Genesis AI Temps plein
What You\'re Do
  • Build machine learning models for robotics control end-to-end: data curation, careful evaluation, model architecture, training/inference stacks, rigorous experiments


    Il est essentiel de vous assurer que vous correspondez aux critères en tant que candidat(e) pour ce poste, veuillez lire attentivement ce qui suit.
  • Collaborate with simulation and real-world robotics teams to curate high-quality, diverse, and large-scale datasets

  • Curate the world’s best Internet-scale datasets for embodied perception and first-person robot video generation

  • Design new generative simulation techniques to expand simulation data scale and diversity, training and evaluating generative models of 3D objects and environments, and language/code models to generate tasks and reward functions

  • Collaborate with a team of driven individuals committed to building general-purpose Physical AI

What You\'ll Bring
  • Passion for your craft and demonstrated excellence in full-stack foundation model research and engineering

  • Exceptional ownership and initiative—finding and solving problems independently

  • Extensive experience pioneering new machine learning ideas or refining existing methods, supported by first-author publications xuezdbg or impactful projects (5+ years)

  • A relentless commitment to data and code quality, rigorous evaluation, and meticulous attention to detail

  • Production-level expertise in modern Python

  • Bonus: Experience with Vision-Language-Action models for robotics or web agents, embodied perception, or video generation