Imitation Learning Engineer, RIVR CH

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. /p pImitation learning enables our robot to mimic "expert" behaviors, derived from human demonstrations or algorithmic strategies. By utilizing state-of-the-art generative AI and similar methods, our wheeled-legged robot can significantly enhance its autonomy and manipulation skills. In this role, you will enable robots to autonomously generate actions from demonstrations and real-time sensor data. These processes may also incorporate responses to natural language commands, further advancing the robot's skills. We are seeking an expert in imitation learning and generative AI techniques that directly produce robot behaviors, along with a deep knowledge of both supervised and self-supervised learning algorithms. If you are passionate about pushing the boundaries of AI and eager to deliver innovative solutions, we invite you to join us in shaping the future of intelligent robotics. /p h3Key job responsibilities /h3 ul liDevelop imitation learning algorithms, such as diffusion policies, to enable robots to autonomously execute actions based on demonstrations and real-time sensor data. /li liDesign, test, and refine your algorithms to meet the demands of complex real-world autonomy and manipulation tasks. /li liConstruct a dataset for the imitation learning algorithm using human demonstrations or automated expert algorithms. /li liStreamline the workflow to efficiently expand the imitation learning dataset with new tasks. /li liCollaborate with the reinforcement 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 h3Basic Qualifications /h3 ul liMaster’s degree or higher in a relevant field such as Engineering, Robotics, or Machine Learning. /li li5 years of industry or research experience, with PhD experience applicable. /li liStrong deep learning fundamentals including supervised learning, self-supervised learning, neural network architectures, policy optimization algorithms, imitation learning, and generative AI techniques, including Diffusion Models such as DALL-E 2 and Stable Diffusion, as well as Diffusion Policy. /li liBackground in robotics including autonomy and 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 /ul h3Preferred Qualifications /h3 ul 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 is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. /p pOur inclusive culture empowers Amazonians to deliver the best results for our customers. /p pIf you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. /p pIf the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. /p pAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply. /p #J-18808-Ljbffr