Amazon · 8 hours ago
Applied Scientist, Robotics Delivery and Packaging Innovation (RDPI)
Amazon is seeking an Applied Scientist in the Robotics Delivery and Packaging Innovation (RDPI) team to optimize systems that handle millions of customer packages daily. The role involves leveraging machine learning, computer vision, and robotics to develop innovative packaging solutions and improve operational efficiency while focusing on sustainability.
RetailArtificial Intelligence (AI)E-CommerceLogisticsDeliveryFoundational AI
Responsibilities
Leverage generative AI technologies to develop scalable solutions for automated product compatibility and safety assessments (e.g., evaluating product shipping compatibility, safety requirements, and packaging configurations)
Develop advanced AI models by extracting predictive features from multiple data sources (product/packaging images, product descriptions, sensor data, geospatial data) to forecast package-related damages and optimize packaging decisions based on customer preference prediction
Develop and implement computer vision solutions to automate packaging workflows and detect product/packaging defects in real-time operations
Build causal inference model to capture the downstream impacts of different packaging designs and delivery experience
Design and implement robotic control algorithms to optimize machine efficiency and meet diverse business objectives
Qualification
Required
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience programming in Java, C++, Python or related language
Experience building machine learning models or developing algorithms for business application
Experience implementing algorithms using both toolkits and self-developed code
Experience applying theoretical models in an applied environment
Preferred
Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Experience in professional software development
Experience in designing experiments and statistical analysis of results
Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
Benefits
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
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
Recent News
2026-02-12
2026-02-12
Company data provided by crunchbase