Foundation Models Engineering & Research London

What You’ll DoBuild machine learning models for robotics control end-to-end: data curation, careful evaluation, model architecture, training/inference stacks, rigorous experimentsCollaborate with simulation and real-world robotics teams to curate high-quality, diverse, and large-scale datasetsCurate the world’s best Internet-scale datasets for embodied perception and first-person robot video generationDesign 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 functionsCollaborate with a team of driven individuals committed to building general-purpose Physical AIWhat You’ll BringPassion for your craft and demonstrated excellence in full-stack foundation model research and engineeringExceptional ownership and initiative-finding and solving problems independentlyExtensive, 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 detailProduction-level expertise in modern PythonBonus: Experience with Vision-Language-Action models for robotics or web agents, embodied perception, or video generation #J-18808-Ljbffr