Senior Applied Scientist, Delivery Foundation Model

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 Senior Applied Scientist to help develop innovative foundation models that enable delivery of billions of packages 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
- 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.

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 in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field or Masters degree and 10 years of industry or academic research experience
- 5 years of building machine learning models or developing algorithms for business application experience
- 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- Experience mentoring junior scientists / engineers.

- Experience building foundation models for industry or research
- Experience designing multi-modal model architectures
- Experience building models for motion prediction e.g. 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

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our 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 youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/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.