Amazon · 7 hours ago
Principal Applied Scientist, Delivery Foundation Model
New York, United States
Full-time
Onsite
Lead/Staff
$179K/yr - $309K/yr
8+ years expAmazon is seeking a Principal Applied Scientist to join their Delivery Foundation Model team, focusing on developing innovative foundation models for logistics. The role combines technical expertise with scientific leadership to enhance Amazon's delivery network through advanced AI solutions.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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
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
Qualification
Required
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
Benefits
Equity
Sign-on payments
Medical
Financial
Other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-14
2026-01-14
2026-01-14
Company data provided by crunchbase