AI Engineer - VLA model, RIVR

pbDescription /bRIVR, 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. /p pbDescription /bRIVR, 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. Our fleet of delivery robots operates globally today, generating vast amounts of robotic real-world data. By utilizing state-of-the-2023 Vision-Language-Action (VLA) models, large-scale generalist models (like Transformers), generative AI, and similar methods, we can leverage this pool of data to significantly enhance its autonomy, navigation, and manipulation skills. In this role, you will develop multi-modal models that enable robots to autonomously generate actions from demonstrations, real-time sensor data, and natural language commands. We are seeking an expert in VLA models, imitation learning, and generative AI techniques with a deep knowledge of supervised, and self-supervised learning algorithms. If you are passionate about pushing the boundaries of AI we invite you to join us in shaping the future of intelligent robotics. /p h3Key job responsibilities /h3 ul liDevelop and implement Vision-Language-Action (VLA) models, generalist robot transformers, and imitation learning algorithms (e.g., diffusion policies) to enable robots to autonomously execute complex tasks. /li liDesign, test, and refine your algorithms to meet the demands of complex real-world autonomy and navigation tasks, with a focus on spatial reasoning and generalization. /li liStreamline the data collection and training workflow to efficiently expand model capabilities with new tasks and data sources. /li liCollaborate with the reinforcement learning team to innovate methods that leverage both simulated and real-world data. /li liOptimize and distill networks for real-time deployment on the edge (e.g. Nvidia Jetson Thor). /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 liAt least three years of industry or research experience, with PhD experience applicable. /li liStrong deep learning fundamentals including supervised learning, self-supervised learning, Transformer-based architectures, policy optimization algorithms, imitation learning, and generative AI techniques (including Diffusion Models). /li liProven experience in developing Vision-Language-Action models or large-scale generalist robot models (e.g., RT-2, Octo). /li liStrong background in robotics including autonomy, navigation. /li liExperience with deploying artificial neural networks on hardware platforms. /li liAbility to prototype algorithms and train deep neural networks in Python (Pytorch) /li liMaster’s degree or higher in a relevant field such as Engineering, Robotics, or Machine Learning. /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 liAbility to write production-level code in modern C++. /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. If 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. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. /p #J-18808-Ljbffr