Embodied AI Jobs

Embodied AI jobs are for teams that train and deploy intelligent systems operating through physical bodies such as robots and mobile platforms. Typical openings blend machine learning with robotics, including robot learning, manipulation policy development, reinforcement learning, and imitation learning pipelines. You will often work with real-world data collection, simulation-to-real transfer, model evaluation under safety constraints, and production deployment infrastructure. These positions can range from research-heavy exploration to product-focused engineering that ships measurable capabilities. Because embodied systems interact with uncertain physical environments, success depends on robust experimentation and disciplined integration with controls and perception stacks. This page is a useful entry point if you want to work at the intersection of learning-based intelligence and physical action where model quality directly impacts real-world behavior.