Multimodal Foundation Models Researcher/Engineer

Our client is one of the most exciting companies in robotics right now. Founded by a repeat unicorn founder with multibillion dollar exits, they've raised over half a billion dollars to pursue a single audacious mission: a helpful robot in every home. Their lean, elite team of ~70 comes from Tesla, OpenAI, Google, Cruise, and Pixar. The best in the world, building something the world has never seen.The RoleYou'll own the full stack of a unified multimodal foundation model, from pretraining to deployment on real robotic hardware. This is foundational research with direct physical impact. No hand-offs, no bureaucracy, just hard problems and the resources to solve them.What You'll DoDesign and train large-scale multimodal architectures where vision, language, and kinematics share a unified representationResearch and implement genuine cross-modal reasoning, not shallow associationsRun end-to-end training loops: data curation, experiment design, failure diagnosis, and iterationDeploy models directly onto robotic hardware and optimize for edge inferenceWhat You BringStrong Python, C++, or RustA proven track record training and deploying large-scale multimodal models in productionDeep fluency in LLM pretraining, post-training, and RL at scaleComfort owning very large GPU cluster experiments from start to finishWhy ThisThe problems are unsolved. The team is world-class. The funding is exceptional. If you want to do the most consequential work in embodied AI right now, with the people and resources to actually ship it, this is the role.

Created: 2026-05-09