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Foundation Models

Genesis

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London Full-time Posted November 2, 2026
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About the role

What You'll Do • 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 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 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 Find more English Speaking Jobs in United Kingdom on Arbeitnow

Skills

Engineering & Research
Foundation Models at Genesis | DevCli