Applied Scientist, Robotics Delivery and Packaging Innovation (RDPI)

Do you want to be part of a team thats revolutionizing Amazons fulfillment and packaging technology Are you ready to optimize systems that process tens-of-millions of customer packages daily with the lowest cost to serve and a defect-free customer experience Do you have a passion for solving complex science challenges and building a sustainable e-commerce experience

The Robotics Delivery and Packaging Innovation (RDPI) team is seeking an Applied Scientist who will join a team of experts in the field of Machine Learning (ML) Statistics Operations Research Computer Vision and Generative AI to work together to break new ground in the world of automated packaging solutions. The RDPI team owns mission-critical automation and packaging solutions that impact billions of customer shipments annually across Amazons WW marketplaces. We manage billions of dollars in material spend and packaging labor costs while driving significant reductions in carbon emissions. Our team is revolutionizing e-commerce through advanced packaging automation innovative sortation technology and sustainable solutions. Were dramatically reducing single-use plastics across our network while developing next-generation automated solutions that can handle the majority of our packaging needs. Were also transforming our supply chain through strategic investments in paper manufacturing and innovative materials driving both substantial cost savings and environmental benefits. This is an exciting opportunity to work on large-scale automation challenges that directly impact customer experience operational efficiency and environmental sustainability at one of the worlds largest e-commerce companies.

Youll work in a collaborative environment where you can pursue ambitious research with many peta-bytes of data work on problems that havent been solved before quickly implement and deploy your algorithmic ideas at scale understand whether they succeed via statistically relevant experiments across millions of customers and publish your research. Youll see the work you do directly improve the packaging experience of Amazon customers in the fulfillment technology space. If you are interested in robotics computer vision machine learning operations research statistics big data and building scalable solutions this role is for you.

Key job responsibilities
A successful candidate in this role may perform some or all of the following 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

A day in the life
Scientists on our team work daily with dedicated product and engineering partners to bring innovative solutions from concept to production. Youll divide your time between deep technical workbuilding models analyzing results iterating on algorithmsand collaborative activities like design reviews stakeholder presentations and cross-functional planning. Youll also have opportunities to support science initiatives across the broader RDPI organization (1500 people) partnering with diverse teams to solve high-impact problems and scale your solutions across Amazon.

About the team
We are a team of scientists with diverse technical backgrounds spanning Machine Learning Operations Research Causal Inference and Econometrics. We tackle complex high-impact problems that directly influence Amazons strategic decisions and financial performance. Our solutions typically require combining multiple methodologies and youll work collaboratively with other scientists while partnering closely with product and engineering teams to bring your innovations into production systems. Youll have the opportunity to grow your expertise across disciplines while delivering measurable business impact at scale.

- PhD or Masters 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

- 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

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

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including 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 and parental leave. Learn more about our benefits at WA Bellevue - 142800.00 - 193200.00 USD annually