Machine Learning Engineer Intern, AI & Robotics

<p><strong>Why RoboForce</strong></p> <p>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.</p> <p>We are seeking a <strong>Machine Learning Engineer Intern</strong> to join us in developing advanced AI capabilities for robotics. The internship starts from <strong>November 2026 for 3-6 months</strong>. As part of our team, you will help build the foundational AI ecosystem, spanning<strong> </strong>data collection, labeling, training, evaluation, and deployment.</p> <p>You will collaborate closely with a team of world-class AI engineers and gain hands-on experience solving real-world challenges at the intersection of artificial intelligence and robotics.</p> <p><strong>Responsibilities</strong></p> <ul> <li> <p>Train and improve robot foundation models, including vision-language-action (VLA) models and world-action models, for precise, contact-rich manipulation in industrial settings.</p> </li> <li> <p>Explore new modalities and methods, including tactile and force-torque sensing, reinforcement learning, and simulation, to advance model capabilities.</p> </li> <li> <p>Build data pipelines for robot learning, including data collection, curation, labeling, and dataset quality assurance.</p> </li> <li> <p>Design and run evaluations in simulation and on real robots to measure and improve model performance.</p> </li> <li> <p>Deploy models on robots and optimize them for real-time onboard inference.</p> </li> <li> <p>Work closely with robotics, hardware, and product teams to bring models from research to production.</p> </li> </ul> <p><strong>Requirements</strong></p> <ul> <li> <p>Currently pursuing an advanced degree in Computer Science, Robotics, Machine Learning, or a related field, with a graduation date in 2026 or 2027.</p> </li> <li> <p>Proficiency in multimodal models, modern machine learning architectures (e.g., transformers and diffusion models), and reinforcement learning.</p> </li> <li> <p>Proficiency in deep learning frameworks such as PyTorch, JAX, or TensorFlow.</p> </li> <li> <p><strong>Requires 5 days/week in-office collaboration with the teams.</strong></p> </li> </ul> <p><strong>Bonus Qualifications</strong></p> <ul> <li> <p>Exposure to robot learning using tactile and/or vision-based sensors.</p> </li> <li> <p>Expertise in object pose estimation, bimanual manipulation, and synthetic data.</p> </li> </ul> <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: </strong></div> <div class="ace-line ace-line old-record-id-BdARd0WJ0oyV5lx9oaKlrc1rgH7"> <ul> <li>$5,000 - $6,500 monthly salary</li> </ul> </div>