AI Resident at RoboForce

<div data-page-id="G5iEdvXxcoTGi3xE06dlGIb5ghe" data-lark-html-role="root" data-docx-has-block-data="false"> <p class="heading-3 ace-line old-record-id-MrqLdmcV4ogGahxxjy2lq83kgzf"><strong>Why RoboForce</strong></p> <div class="ace-line ace-line old-record-id-ZMqUdwUs6oRJydxQL61ldHSmgUc">RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.</div> <p class="heading-3 ace-line old-record-id-FcWMdyEzJoHvB4x7t2Rl8ktvgQc"><strong>The AI Residency Program</strong></p> <div class="ace-line ace-line old-record-id-UVgJdUfX1oq5gBx1HwslZjDkgEc">The AI Residency Program is designed for exceptional early-career researchers and engineers who want to tackle some of the hardest problems in robotics and AI. <span class="discussion-level-1 discussion-id-3499f755-8ad1-80bb-a42b-001c2133ff06 notion-enable-hover" data-token-index="0">Residents will work alongside a deeply technical team on core challenges in embodied physical intelligence, including Vision-Language-Action (VLA) models, World Models, World Action Models, and 3D foundation models, as well as the full stack of real-world learning—from efficient data collection systems and simulation to reinforcement learning and deployment on physical robots.</span></div> <div class="ace-line ace-line old-record-id-UVgJdUfX1oq5gBx1HwslZjDkgEc">&nbsp;</div> <div class="ace-line ace-line old-record-id-WkxLd9jk9or0dHxkVFOl5kmIgxh">This is a hands-on residency for people who want to do ambitious work with real consequences: building learning systems that connect perception, reasoning, and action in service of capable, deployable robots. What makes this program different is the direct connection between research and real-world deployment. Residents work with actual RoboForce robots, iterate quickly between simulation and physical execution, and contribute to systems designed for real use.</div> <div class="ace-line ace-line old-record-id-WkxLd9jk9or0dHxkVFOl5kmIgxh">&nbsp;</div> <div class="ace-line ace-line old-record-id-Ljj7dNVhnoQudyxWVlnlXoo2gic">The problems are hard, the standards are high, and the goal is to build systems that matter outside the lab.</div> <p class="heading-3 ace-line old-record-id-Y36OdUQEPovlnpxw4o9lyyytgeh"><strong>Research Focus Areas</strong></p> <div class="ace-line ace-line old-record-id-Sq6VdNobVorRzQx53KilNhFPgzc">As an AI Resident, you may contribute across several core areas:</div> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-DQsmdDD4ko9r1OxkUumlRBuhgCd" data-list="bullet"> <div>Vision-Language-Action (VLA) models for general-purpose robotic behavior</div> </li> <li class="ace-line ace-line old-record-id-XC3id6SYtofuDOxqLObl2gwDgnb" data-list="bullet"> <div>World Models for predictive modeling, planning, and long-horizon decision-making</div> </li> <li class="ace-line ace-line old-record-id-MMAudPe7RoghG8x70BOlFp1EgUH" data-list="bullet"> <div>World Action Models for jointly modeling action and environment dynamics</div> </li> <li class="ace-line ace-line old-record-id-TGtPdVtSloWdiTxXzWNlcfHIg2d" data-list="bullet"> <div>Simulation and sim-to-real transfer for scalable training, evaluation, and data generation</div> </li> <li class="ace-line ace-line old-record-id-SjXpdmwNOoeoCpxKkN3lMYOJgKe" data-list="bullet"> <div>Reinforcement learning, imitation learning, and policy optimization for embodied agents</div> </li> <li class="ace-line ace-line old-record-id-UWFEdYn8roWveJxw1iul9Ayxgdd" data-list="bullet"> <div>Multimodal learning across vision, language, proprioception, force, and action</div> </li> <li class="ace-line ace-line old-record-id-LQXrdcD4QoElOxxtGwTlRJAogmg" data-list="bullet"> <div>Learning systems for manipulation and real-world embodied interaction</div> </li> </ul> <p class="heading-3 ace-line old-record-id-UkrmdSFxKo0BIAxlcTDlbwKigWg"><strong>What You’ll Do</strong></p> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-ZFdXdIuHdovPRBxFYwAl5IKHgYf" data-list="bullet"> <div>Conduct research and build systems for embodied physical intelligence</div> </li> <li class="ace-line ace-line old-record-id-OWB7dZamOoQGfzxiifElHlD2gue" data-list="bullet"> <div>Develop and evaluate methods in VLA, World Models, World Action Models, simulation, and RL</div> </li> <li class="ace-line ace-line old-record-id-DC90dsFl3oNMzFx2L4xlf8zMg1f" data-list="bullet"> <div>Design and run experiments on robotics tasks involving perception, planning, control, and long-horizon behavior</div> </li> <li class="ace-line ace-line old-record-id-BC8pdRtEFo0jsRxbvjSlzSDPgld" data-list="bullet"> <div>Build training and evaluation pipelines for large-scale embodied learning systems</div> </li> <li class="ace-line ace-line old-record-id-J5eKdFzOYo7RWVxuLnvlgPYZgfc" data-list="bullet"> <div>Work closely with research and engineering teams to move ideas from prototype to real or simulated robot platforms</div> </li> <li class="ace-line ace-line old-record-id-U0S0dcMNvovPMtxnudPlQzLDg5g" data-list="bullet"> <div>Explore how multimodal foundation models can improve robot capability in real deployment settings</div> </li> <li class="ace-line ace-line old-record-id-OLqEdw6dHoeXyxxrRGHlV17wgCl" data-list="bullet"> <div>Contribute to technical reports, internal research discussions, and, where appropriate, publications</div> </li> </ul> <p class="heading-3 ace-line old-record-id-O7JUdYFlho6sXUxaOIWlXLhUgvb"><strong>Basic Qualifications</strong></p> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-UD69dmITboIaDRxw7wolwh8ugfg" data-list="bullet"> <div>Master’s, or PhD student, recent graduate, or early-career researcher/engineer in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field</div> </li> <li class="ace-line ace-line old-record-id-P8Q7dEm2GoAvnYxBJQ6lSihngf9" data-list="bullet"> <div>Experience with modern ML frameworks such as PyTorch, JAX, or TensorFlow</div> </li> <li class="ace-line ace-line old-record-id-TDfedg32Molz32xFwuJlrjpXgKe" data-list="bullet"> <div>Experience using AI-assisted coding tools and agentic development workflows to prototype, iterate, and build quickly</div> </li> <li class="ace-line ace-line old-record-id-Ds8ydeedOonC9ixzNaQlPSuigvF" data-list="bullet"> <div>Ability to implement, debug, and evaluate research ideas in a fast-moving environment</div> </li> <li class="ace-line ace-line old-record-id-HfaKdq7syo4VDoxFbwjlbLibgdh" data-list="bullet"> <div>Strong engineering judgment, including the ability to validate, refine, and productionize AI-assisted code</div> </li> </ul> <p class="heading-3 ace-line old-record-id-KY7jd43LaoLhbHxsDlFlPyd1gcd"><strong>Preferred Qualifications</strong></p> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-CWXKd5LUuoeRlYxFwyClrSN0gMb" data-list="bullet"> <div>Rich hands-on experience in robotic manipulation, mobile manipulation, or industrial robotics</div> </li> <li class="ace-line ace-line old-record-id-Cj6MdKwLJooceDxr0mNlshMQgfb" data-list="bullet"> <div>Experience training, fine-tuning, or evaluating multimodal or embodied models</div> </li> <li class="ace-line ace-line old-record-id-DoYFd5Obho0bwKxGiQYl0inVgee" data-list="bullet"> <div>Experience with World Models, action-conditioned prediction, model-based learning, planning, or control</div> </li> <li class="ace-line ace-line old-record-id-RvjhdkXPzo7k9mxicUZlBzKzg2f" data-list="bullet"> <div>Strong hands-on experience with simulation platforms such as Isaac Gym, Isaac Sim, MuJoCo, ManiSkill, Habitat, or similar systems</div> </li> <li class="ace-line ace-line old-record-id-C7RAdqy49oEceKxpPDVlVKkRg9b" data-list="bullet"> <div>Experience with reinforcement learning, imitation learning, or post-training for robotic policies</div> </li> <li class="ace-line ace-line old-record-id-LjpLd98FNobLaDxPfzdlbndNgNg" data-list="bullet"> <div>Experience working with real robot hardware, data collection systems, evaluation workflows, or deployment pipelines</div> </li> <li class="ace-line ace-line old-record-id-RGEGdZ7GKo66L1xhE48lRw08gbd" data-list="bullet"> <div>Demonstrated technical initiative through research, open-source contributions, or high-impact engineering work</div> </li> </ul> <p class="heading-3 ace-line old-record-id-ZdGsdi0nlowYfLxp0pGluX0rgDf"><strong>Compensation and Resources</strong></p> <div class="ace-line ace-line old-record-id-U0ZYdxrimof7UfxLcv8lQJlPgfe"><strong>Duration:</strong></div> <div class="ace-line ace-line old-record-id-U0ZYdxrimof7UfxLcv8lQJlPgfe"> <ul> <li>3–6 months, full-time</li> </ul> </div> <div class="ace-line ace-line old-record-id-BdARd0WJ0oyV5lx9oaKlrc1rgH7"><strong>Compensation:&nbsp;</strong></div> <div class="ace-line ace-line old-record-id-BdARd0WJ0oyV5lx9oaKlrc1rgH7"> <ul> <li>$10,000 monthly salary</li> </ul> </div> <div class="ace-line ace-line old-record-id-NR53dfN3Eoe1NwxIdsDlCey8gDg"><strong>Benefits:</strong></div> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-J5OsdpsEhoE9Ekx1vcblzANngCb" data-list="bullet"> <div>Company-provided lunch and dinner, a fully stocked kitchen, and team events</div> </li> <li class="ace-line ace-line old-record-id-L2sMduvb3oN4C9xQu9Bl7hM7g5b" data-list="bullet"> <div>Premium fitness center membership covered by the company</div> </li> </ul> <div class="ace-line ace-line old-record-id-TQu0dUjIhoyovUxvLk6lMAx6gkh"><strong>Resources: </strong></div> <div class="ace-line ace-line old-record-id-FLsedvosOoLN9yxzWNhlTTgzgYg">Access to large-scale GPU clusters and production-grade infrastructure, with dedicated support to enable fast, uninterrupted experimentation on ambitious robotics and AI workloads</div> </div>