Applied Scientist, Delivery Foundation Model

Amazon's Delivery Foundation Model team is pioneering the next frontier of logistics through advanced AI and foundation models. They are seeking an exceptional Applied Scientist to develop innovative foundation models that enhance the delivery of billions of packages worldwide.

Responsibilities:

• Design and implement novel deep learning architectures combining a multitude of modalities, including image, video, and geospatial data
• Solve computational problems to train foundation models on vast amounts of Amazon data and infer at Amazon scale, taking advantage of latest developments in hardware and deep learning libraries
• As a foundation model developer, collaborate with multiple science and engineering teams to help build adaptations that power use cases across Amazon Last Mile deliveries, improving experience and safety of a delivery driver, an Amazon customer, and improving efficiency of Amazon delivery network
• Drive technical direction for specific research initiatives, ensuring robust performance in production environments
• Develop and implement novel foundation model architectures, working hands-on with data and our extensive training and evaluation infrastructure
• Collaborate with fellow scientists in solving complex technical challenges, from trajectory planning to efficient multi-task learning
• Collaborate with fellow engineers in building scalable and reusable infra to support model training, evaluation, and inference
• Contribute to focused technical initiatives from conception through deployment, ensuring successful integration with production systems
• Drive technical discussions within the team and key stakeholders
• Conduct experiments and prototype new ideas
• Make significant hands-on contribution to technical solutions