Paid AI residency for embodied work
- RoboForce launched an AI residency offering paid placements for early-career engineers focused on VLA models and reinforcement learning. - The 3–6 month program pays $10,000 per month and provides GPU access for sim-to-real experiments. - The residency offers a funded, short-term path into embodied-AI research and systems engineering for early-career practitioners (x.com).
Robotics startup RoboForce has opened a paid artificial intelligence residency for early-career engineers working on software that helps robots see, plan, and act. (job-boards.greenhouse.io) The Milpitas, California, company lists the role as “AI Resident,” a full-time, on-site position for master’s students, PhD students, recent graduates, and other early-career researchers or engineers. The posting says residents will work on vision-language-action models, world models, reinforcement learning, simulation, and real-world robot learning. (simplyhired.com) The job ad lists pay at $10,000 a month and says the program gives residents access to large-scale graphics processing unit clusters and production infrastructure for experiments that move from simulation into physical robots. A third-party repost of the opening describes the residency as a 3-to-6-month commitment. (simplyhired.com) (binance.com) Vision-language-action models are systems that take camera input and text instructions, then output robot actions; world models are software that tries to predict what will happen next, like a robot’s internal simulator. Reinforcement learning is the training method that rewards useful behavior, the way a game score pushes a player toward better moves. (simplyhired.com) RoboForce says residents will work with its own robots rather than staying in software-only tests, and the company frames the program around “embodied” or physical artificial intelligence. Its website says the company is building robots for industrial settings including solar farms, mining, shipping, manufacturing, and logistics. (simplyhired.com) (roboforce.ai) The residency arrives as robotics companies try to hire machine-learning talent that can bridge research papers and deployed machines. RoboForce’s current openings also include senior roles in foundation models, perception, data infrastructure, manipulation, and motion planning, all based in Milpitas. (job-boards.greenhouse.io) RoboForce was founded in 2023, according to its website, and says its team includes alumni of Carnegie Mellon, the University of Michigan, Amazon Robotics, Google, Waymo, Cruise, Tesla Robotics, ABB, and Apple. The company said in a March 2026 post that it had raised $52 million in new funding, bringing total funding to $67 million. (roboforce.ai 1) (roboforce.ai 2) The opening gives early-career engineers a short, paid route into embodied artificial intelligence at a company that says it wants research tied directly to deployed machines, not just benchmark results. The application is live now on RoboForce’s Greenhouse board. (job-boards.greenhouse.io)
