AI Engineer - Reinforcement Learning (Senior)

ppAmazon RIVR is a robotics company pioneering Physical AI through real-world doorstep delivery. Founded in 2024 as an ETH Zurich spin-off, RIVR developed wheeled-legged robots designed to operate in complex, unstructured environments such as stairs, gates, doors, and uneven urban terrain. We believe that achieving general physical intelligence requires solving real customer problems in the real world, where robots can learn from rich operational data at scale. /p pFollowing our acquisition by Amazon in March 2026, we are continuing this mission with greater reach and speed. By combining custom robot hardware, onboard autonomy, and cloud-based coordination, Amazon RIVR is building the next generation of safe, reliable autonomous robots for last‑mile delivery. /p h3Job Description /h3 pReinforcement learning is transforming our robotic intelligence, enabling autonomous behavior without human guidance. We are seeking a Senior AI Engineer with deep expertise in reinforcement learning and deep learning, including supervised and self‑supervised learning, to lead our engineering team. Your role will involve leveraging both simulated and real‑world data to address practical challenges. If you are passionate about advancing AI and developing innovative solutions, join us in shaping the future of intelligent robotics. /p h3Responsibilities /h3 ul liDevelop cutting‑edge reinforcement learning algorithms to enable robots to autonomously execute motor commands based on raw sensor input. /li liDesign, test, and refine your algorithms to meet the demands of complex real‑world locomotion, autonomy and manipulation tasks. /li liCollaborate with the computer vision and imitation learning team to innovate methods that leverage both simulated and real‑world data. /li liImplement deployment‑ready code for the real robot, optimized for the robot’s computational constraints. /li liBuild, lead and mentor an exceptional team of software engineers. /li liProvide expert guidance to product managers and executives for strategic decision‑making. /li liCreate and maintain documentation, guidelines, and best practices to streamline knowledge sharing. /li /ul h3Qualifications /h3 ul liMaster’s degree or higher in a relevant field such as Engineering, Robotics, or Machine Learning. /li liA minimum of five years of industry or research experience, with PhD experience applicable. /li liStrong deep learning fundamentals, including supervised and self‑supervised learning techniques, and reinforcement learning, including Markov Decision Processes (MDPs), neural network architectures, policy optimization algorithms, model‑based vs. model‑free RL, exploration‑exploitation strategies, value function methods, transfer learning, domain adaptation, sim‑to‑real transfer, etc. /li liStrong background in robotics including autonomy and/or manipulation. /li liExperience with deploying artificial neural networks on hardware platforms. /li liAbility to write production‑level code in modern C++. /li liAbility to prototype algorithms and train deep neural networks in Python. /li liPhD degree in Robotics, Engineering, Computer Science, Machine Learning or a similar discipline, or an equivalent amount of research experience. /li liPublications at top‑tier conferences. /li liExperience in managing a software team. /li /ul pAmazon RIVR is committed to building a diverse and inclusive team that values every perspective. If you’re passionate about driving innovation in robotics and creating meaningful impact, we encourage you to apply and bring your unique self to our team. /p pWe believe the best work is done when collaborating and therefore require in‑person presence in our office locations. /p /p #J-18808-Ljbffr