Foundation Model Engineer, Robotics & Generative AI

Genesis

Paris

Sur place

EUR 70 000 - 100 000

Plein temps

14 jours+

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Résumé du poste

Genesis is seeking senior researchers and engineers to build end-to-end machine learning models for robotics control. You will curate diverse, high-quality datasets and collaborate with simulation and real-world teams to push the boundaries of embodied perception and generative simulation.

Ideal candidates have 5+ years of experience with publications or impactful projects, a strong drive for excellence, and production-grade Python skills.

Qualifications

  • Demonstrated excellence in full-stack foundation model research and engineering.
  • Ownership and initiative—solving problems independently.
  • Extensive experience pioneering new ML ideas or refining methods; 5+ years with impact.
  • Data and code quality, rigorous evaluation, and meticulous attention to detail.
  • Production-level expertise in modern Python.

Responsabilités

  • Build ML models for robotics control end-to-end: data curation, evaluation, architecture, training/inference stacks.
  • Collaborate with simulation and real-world robotics teams to curate large-scale datasets.
  • Curate Internet-scale datasets for embodied perception and robot video generation.
  • Design generative simulation techniques to expand data scale and diversity for 3D objects/environments.
  • Collaborate with a team committed to building general-purpose Physical AI.

Connaissances

Full-stack foundation model research
Python
Independent problem solving
Publications / projects
Robotics / AI vision

Outils

Python

Description du poste

Genesis is seeking senior researchers and engineers to build end-to-end machine learning models for robotics control. You will curate diverse, high-quality datasets and collaborate with simulation and real-world teams to push the boundaries of embodied perception and generative simulation.

Ideal candidates have 5+ years of experience with publications or impactful projects, a strong drive for excellence, and production-grade Python skills.

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