Senior Applied Scientist, Delivery Foundation Model
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Job ID: 2998435 | Services LLC
Overview
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.
Key Responsibilities
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* Design and implement novel deep learning architectures combining modalities such as image, video, and geospatial data.
* Solve computational problems to train foundation models on large amounts of Amazon data and infer at Amazon scale, using the latest hardware and deep learning libraries.
* Collaborate across science and engineering teams to build adaptations for use cases across Amazon Last Mile deliveries, improving driver and customer experience and overall network efficiency.
* Guide technical direction for specific research initiatives, ensuring robust performance in production environments.
* Mentor fellow scientists while contributing significant technical work.
Day in the Life
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* Develop and implement novel foundation model architectures, working on data and deployment infrastructure.
* Guide and support team members in solving complex technical challenges such as trajectory planning and multi‑task learning.
* Support engineers in building scalable, reusable infrastructure for training, evaluation, and inference.
* Lead technical initiatives from conception to deployment, ensuring integration with production systems.
* Drive technical discussions within the team and with key stakeholders.
* Conduct experiments and prototype new ideas.
About the Team
The Delivery Foundation Model team combines ambitious research vision with real‑world impact. Our models provide generative reasoning capabilities needed to meet the demands of Amazon’s global Last Mile delivery network, from multimodal training using images, videos, and sensor data to sophisticated modeling strategies for diverse scenarios.
Basic Qualifications
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* PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master’s degree with 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 frameworks, including 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 applying machine learning innovation in industry.
* Experience mentoring junior scientists or engineers.
Preferred Qualifications
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* Experience building foundation models for industry or research.
* Experience designing multi‑modal model architectures.
* Experience building motion‑prediction models (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. xpzdshu
EEO Statement
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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