About the job
Join the next science and engineering revolution at Amazon's Delivery Foundation Model team, where you'll work alongside world-class scientists and engineers to pioneer the next frontier of logistics through advanced AI and foundation models. We are seeking an exceptional Principal Applied Scientist to help develop innovative foundation models that enable delivery of billions of packages worldwide. In this role, you'll combine highly technical work with scientific leadership, ensuring the team delivers robust solutions for dynamic real-world environments. Your team will leverage Amazon's vast data and computational resources to tackle ambitious problems across a diverse set of Amazon delivery use cases.
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.
Guide technical direction for specific research initiatives, ensuring robust performance in production environments.
Mentor fellow scientists while maintaining strong individual technical contributions.
Qualifications
Minimum
PhD or Master's degree and 8+ years of applied machine learning experience.
Experience designing novel deep learning model architectures, building models from scratch
Proficient with Data, experience with SQL and Spark
Expert coders comfortable working in production environments using Python, C++ or other languages
Strong publication record at top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL) OR Demonstrated experience in applying machine learning innovation in industry
Extensive track record of leading technical projects
Experience mentoring junior scientists / engineers.
Preferred
Experience building foundation models for industry or research
Experience designing multi-modal model architectures
Experience building models for motion prediction, e.g. for autonomous driving
Track record of successful production ML deployments
Experience with large-scale distributed environments for ML training and inference
History of impactful first-author publications at major conferences