Applied Science Director, Delivery Foundation Model

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 Applied Science Director to lead the development of 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.

Key job responsibilities

• Lead software developers and scientists developing generative, multi-modal foundation models to support Amazon’s worldwide delivery network.
• Guide technical direction for specific research initiatives, ensuring robust performance in production environments
• Build and manage the model development roadmap in support of critical Last Mile Delivery use cases.
• Define goals for model development and adoption, and own all project-related communication to a diverse set of stakeholders.
• Hire, develop and manage a team of talented scientists and engineers.

A day in the life

As a member of the Delivery Foundation Model team, you’ll spend your day on the following :

About the team

The Delivery Foundation Model team combines ambitious research vision with real-world impact. Our foundation models provide generative reasoning capabilities required to meet the demands of Amazon's global Last Mile delivery network. We leverage Amazon's unparalleled computational infrastructure and extensive datasets to deploy state-of-the-art foundation models to improve the safety, quality, and efficiency of Amazon deliveries. Our work spans the full spectrum of foundation model development, from multimodal training using images, videos, and sensor data, to sophisticated modeling strategies that can handle diverse real-world scenarios. We build everything end to end, from data preparation to model training and evaluation to inference, along with all the tooling needed to understand and analyze model performance.

Join us if you're excited about pushing the boundaries of what's possible in logistics, working with world-class scientists and engineers, and seeing your innovations deployed at unprecedented scale.

BASIC QUALIFICATIONS

PREFERRED QUALIFICATIONS

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers.