Robot Learning Intern — Manipulation Policy Learning (2026 Fall)

* ### **About Anyware Robotics** Anyware Robotics builds general-purpose mobile manipulator robots for industrial applications. Our robots are trusted by customers across logistics, retail, and manufacturing, supporting applications such as truck unloading, mobile palletizing, and machine tending. ### **Description** ### **About Anyware** Anyware Robotics builds general-purpose mobile manipulator robots for industrial applications. Our robots are deployed in real warehouse and logistics environments, supporting applications such as truck unloading, mobile palletizing, and machine tending. ### **The Role** The robots run on **AnywareOS**, our industrial physical intelligence system. We are looking for a **Robot Learning Intern** to work on applied manipulation learning using real robot data collected from production and in-house operations. This role is designed for a **strong, independent intern** who can take a scoped robot learning problem from data understanding to model training, evaluation, and technical recommendation. Example directions include vision-language-action models, imitation learning, diffusion policies, action prediction, failure-mode analysis, or policy evaluation using multimodal robot data. ### **What You’ll Do** * Work with real robot datasets, including various sensory inputs and system information related to robot behavior and outcomes. * Develop and evaluate robot learning models for a range of manipulation-related tasks. * Design, implement, and deliver approaches that bridge exploration and production readiness with imitation learning, diffusion policy, VLA models, or representation learning. * Build data pipelines, training scripts, evaluation metrics, and experiment reports. * Analyze successful and failed robot trials to identify learnable patterns and production-relevant failure modes. * Collaborate with planning, perception, and controls engineers to understand how learned models could augment the production system. * Present clear technical findings, including what worked, what failed, and what should be tested next. ### **Required Skills** * Current MS or PhD student in robotics or machine learning. * Experience with robot learning, imitation learning, reinforcement learning, diffusion policies, VLA models, or visuomotor policy learning. * Strong Python programming skills and hands-on experience with PyTorch, JAX, or similar ML frameworks. * Strong data debugging skills, including dataset inspection, failure analysis, and metric design. * Familiarity with ROS, ROS2, robot logs, RGB-D data, point clouds, or robot kinematics. * Comfortable reading papers, implementing baselines, running experiments, and communicating technical tradeoffs. ### **Nice to Have** * Experience working with real robot data, not only simulation. * Prior work on manipulation, grasping, or mobile manipulation robotics. * Experience with large pretrained models, vision-language models, or multimodal representation learning. * Publications, open-source projects, or strong course/research projects in robot learning. ### **What Success Looks Like** By the end of the internship, the intern should deliver a clear technical result: a trained model, reproducible experiment pipeline, evaluation report, and recommendation on whether the explored method is promising for Anyware’s production manipulation roadmap. The goal is not just a demo. The goal is to deliver a validated model or method that demonstrates measurable improvement on defined manipulation tasks, along with clear evaluation results and a concrete recommendation for integration into the production system. ### **Why Anyware** * **An A\+ Team:** Anyware is built by top talents. Collectively, our team has won six Best Paper Awards and Finalists, including the ICRA 2025 Best Paper Award and ICRA 2024 Best Paper Award. * **An A\+ Robot:** Our robot, Pixmo, won the Best Innovation Award (top-1\) at both ProMat 2025 and MODEX 2026 — the two largest logistics automation exhibitions in the world. This is the first time in history that a robotics company has won this prestigious award back-to-back. Pixmo also won the RBR50 Robotics Innovation Award, recognizing it as one of the top 50 most innovative robotics solutions globally. * **Real Impact:** You will contribute directly to the core manipulation intelligence that powers every Pixmo deployment. Your work does not stop at a demo — it ships into real customer sites and solves real problems at scale. * **Fast Growth:** You will sharpen your skills with strong ownership and real responsibility. The team size is doubling every year, creating plenty of room for talents to step up and shine. * **Generous Equity:** We offer generous equity. Salary makes a living, while equity makes a millionaire. ### **Compensation** The expected salary range for this role is $30-60/hr, depending on experience and qualifications. Additional compensation may include equity, benefits, or other incentives, where applicable. ### **Benefits \& Perks** * Daily meals * Unlimited snacks and drinks * Travel per diem ### **Equal Opportunity Statement** Anyware is an equal opportunity employer. We are committed to creating an inclusive workplace and welcome applicants from all backgrounds. Employment decisions are based on qualifications, merit, and business needs. ### **How to Apply** Please submit your resume and any relevant materials through the **Anyware Career platform**. We look forward to learning more about your experience and interest in joining our team.