pRIVR, an Amazon company, is building Physical AI by deploying autonomous robots for real-world doorstep delivery. Operating daily in diverse urban environments, RIVR's robots continuously learn from and navigate the millions of scenarios encountered during deliveries. By owning the full stack from software to hardware, RIVR is purpose‑built for safety, reliability, and the customer from day one. /ppReinforcement 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 with a focus on dexterous manipulation. Your role will involve leveraging both simulated and real‑world data to address practical challenges in dynamic grasping, contact‑rich manipulation, and object interaction. If you are passionate about advancing AI and developing innovative solutions, join us in shaping the future of intelligent robotics. /ph3Key job responsibilities /h3ulliDevelop cutting‑edge reinforcement learning algorithms to enable robust, contact‑rich dexterous manipulation, translating vision, depth, tactile, and proprioceptive sensor input into precise end‑effector and joint‑level motor commands. /liliDesign, test, and refine algorithms to solve complex real‑world manipulation challenges, such as handling diverse package form factors, dynamic hand‑offs, and operating door handles or latches. /liliCollaborate with the foundation model team to innovate methods that leverage both simulated and real‑world data. /li /ulh3BASIC QUALIFICATIONS /h3ulliMaster’s degree or higher in a relevant field such as Engineering, Robotics, or Machine Learning. /liliA minimum of five years of industry or research experience, with PhD experience applicable. /liliStrong 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. /liliStrong background in robotics including autonomy and/or manipulation. /liliExperience with deploying artificial neural networks on hardware platforms. /liliAbility to write production‑level code in modern C++. /liliAbility to prototype algorithms and train deep neural networks in Python. /liliStrong background in robotic manipulation, including dynamics, grasp synthesis, and trajectory optimization. /li /ulh3PREFERRED QUALIFICATIONS /h3ulliPhD degree in Robotics, Engineering, Computer Science, Machine Learning or a similar discipline, or an equivalent amount of research experience. /liliPublications at top-tier conferences (e.g., ICRA, IROS, CoRL, RSS) specifically focusing on robotic manipulation, grasping, or contact‑rich RL. /liliDemonstrated experience working with tactile sensing, multi‑fingered robotic hands, or bimanual manipulation. /li /ul #J-18808-Ljbffr
(Senior) AI Engineer - Reinforcement Learning Manipulation, RIVR Arbeitgeber: RIVR Technologies AG
RIVR, ein Unternehmen von Amazon, bietet eine dynamische Arbeitsumgebung, in der Innovation und Teamarbeit im Mittelpunkt stehen. Als Tech Lead Testing haben Sie die Möglichkeit, nicht nur technische Führungsqualitäten zu zeigen, sondern auch aktiv zur Entwicklung autonomer Roboter beizutragen, die den Alltag der Menschen revolutionieren. Mit einem starken Fokus auf Mitarbeiterentwicklung und einer Kultur des kontinuierlichen Lernens fördert RIVR Ihre berufliche Entfaltung und bietet Ihnen die Chance, in einem zukunftsorientierten Bereich zu arbeiten, der echte Auswirkungen auf die Gesellschaft hat.
