Join the next science and engineering revolution at Amazons Delivery Foundation Model team where youll 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 youll combine highly technical work with scientific leadership ensuring the team delivers robust solutions for dynamic real-world environments. Your team will leverage Amazons 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 Amazons 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 youll spend your day on the following:
- Develop and implement novel foundation model architectures working hands-on with data and our extensive training and evaluation infrastructure
- Guide and support fellow scientists in solving complex technical challenges from trajectory planning to efficient multi-task learning
- Guide and support fellow engineers in building scalable and reusable infra to support model training evaluation and inference
- Lead focused technical initiatives from conception through deployment ensuring successful integration with production systems
- Drive technical discussions within the team and and key stakeholders
- Conduct experiments and prototype new ideas
- Mentor team members while maintaining significant hands-on contribution to technical solutions
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 Amazons global Last Mile delivery network. We leverage Amazons 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 youre excited about pushing the boundaries of whats possible in logistics working with world-class scientists and engineers and seeing your innovations deployed at unprecedented scale.
- PhD or Masters degree and 10 years of applied research experience.
- 10 years of building machine learning models or developing algorithms for production software systems.
- 7 years of managing software and applied science teams.
- Extensive track record of leading technical projects.
- Demonstrated expertise in deep learning and model development.
- Excellent written and verbal communication skills.
- Experience as first-author publications at major conferences
- Experience leading research initiatives in foundation models
- Experience with large-scale distributed systems
- Experience bridging research with practical engineering implementation
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $262500/year in our lowest geographic market up to $350000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.