Reinforcement Learning for Navigation Internship

ANYbotics is a fast-growing tech company dedicated to shaping the future of mobile robotics across multiple industries. Join our highly talented and motivated team of more than 200 people and work on cutting-edge robot technology. We are open to internships all year round and post regularly.We're always looking for passionate, curious, and motivated interns to join our mission of advancing autonomy through ANYmal. Whether you're driven by solving complex technical challenges in software, robotics, hardware, or mechatronics, or excited about shaping how ANYmal generates value for customers, we want to hear from you. We offer internship opportunities across a wide range of teams—including AI/ML, deep learning, perception, SLAM, locomotion, UX, embedded systems, integration, and more.This is your chance to collaborate with world-class experts, gain real-world experience, and make meaningful contributions in a fast-paced, interdisciplinary environment.expected.The OpportunityWe are looking for a Reinforcement Learning for Robotic Navigation intern to join our Advanced Technology team and contribute to advancing ANYmal's mobility capabilities. Utilizing the latest reinforcement learning techniques and simulation tools, we define, train, and integrate ML models into ANYmal to safely and robustly navigate challenging industrial environments.Your role includes evaluating and fine tuning state of the art RL-based navigation policies in simulation and on real quadruped robots. This internship provides a profound and impactful opportunity to work at the forefront of machine learning in robotics, playing a significant role in shaping ANYmal's autonomous capabilities and contributing to real-world applications.You will work closely with Robotics experts and research partners who will provide you with guidance and mentorship. The preferred starting date is January 2026, and the full-time paid internship lasts six months.Market & Our TechnologyANYbotics transforms industrial plants in the energy, process, and utility sector by introducing robotics to a wide range of novel applications that so far were beyond reach. Our customers are large asset operators and industrial service providers pioneering the use of robotics technology for inspection and maintenance. Our mobile robot ANYmal uses legs for extreme mobility in complex environments, camera- and LIDAR-based sensing for full autonomy and obstacle avoidance, and AI for high-quality and consistent inspection results. We develop numerous customized hardware systems, including the entire robotic platform, actuators, sensors, inspection payloads, charging systems, and all related ANYbotics mechanical hardware.Your ContributionsRobustify ANYmal's local obstacle avoidance capabilities using state-of-the-art RL methodsInvestigate various neural network architectures and conduct comparative performance analysesDevelop and expand tools for explainable artificial intelligenceCollaborate with Navigation experts on improving the reliability and scalability of ANYmal's navigation stackYour ProfileCurrently a master's, PhD student or recent graduate in computer science, machine learning, robotics, or related fieldsExperience in Reinforcement Learning, mainly if applied to solving navigation problems in either robots or autonomous drivingProficiency in Python and familiarity with ML frameworks such as PyTorch and/or TensorflowExperience with physical simulators, such as Isaac Sim/Gym, Mujoco, Pybullet, etc.Goal-oriented mindset with a proactive approach to achieving objectivesProficient in EnglishBonus PointsExperience in training and deploying navigation policies on real robots.Experience in developing evaluation benchmarks for RL systemsExperience with C++3,000 CHF - 3,000 CHF a monthWhat We Offer:Hands-on experience working on advanced locomotion software.Mentorship from industry experts.Opportunities to contribute to innovative projects.A dynamic and collaborative work environment.Potential for future full-time opportunities.Please note that we are only able to consider applications from Schengen-Area citizens (or any student enrolled at ETH and EPFL who require compulsory internship). For residents outside of Switzerland, you will have to find your own accommodation in order to apply for the L or B work permit.Internship Details:Start date: any time of the year and always on the 1st of the monthDuration: 6 monthsWorkload: 100% (Full time, Onsite)Who can apply:CH/EU applicants for internshipsThe internship can be voluntaryA work permit is not required but the candidate needs a residence permitMust be enrolled in a UniversityNon-EU applicants for internships:Internship must be mandatory (supported by a letter from a university)Must be eligible for a work permitMust reside in CHInterested? Submit your applicationWe will contact you if your skills and experience are a good fit for the team and the role. Please note due to the high load of applications we will only contact those that are relevant. Thank you for your understanding.We offer you a very exciting and dynamic work environment, the opportunity to become part of a fast-growing company and an ambitious team that is on a mission to change the industrial inspection market, a chance to leverage your experience and bring in your own ideas.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.