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Foundation Models

Genesis· Engineering & Research
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Hybrid (London)Full-timePosted 1mo ago

About the role

Build and advance foundation models for robotics, focusing on data curation, evaluation, model architectures, training/inference stacks, and collaboration with simulation and real-world robotics teams.

Responsibilities

  • Build machine learning models for robotics control end-to-end: data curation, careful evaluation, model architecture, training/inference stacks, rigorous experiments
  • 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

Qualifications

  • 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 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

Skills

Required:Full-stack foundation model research and engineeringPythonData curationExperimentation and evaluation
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Genesis

A new future is at hand.

We are a new generation of robotics builders, united by a shared mission to push the boundaries of physical AI.

AIGENEGenesisfrontier-labsheadline-ai-europe-100-2026intelligencerobotics
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