Applied Scientist, Robotics Delivery and Packaging Innovation (RDPI)

Amazon • Bellevue, WA

10d

About The Position

Do you want to be part of a team that's revolutionizing Amazon's 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 Amazon’s 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. We're dramatically reducing single-use
plastics across our network while developing next-generation automated solutions
that can handle the majority of our packaging needs. We're 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 world's largest e-commerce companies.

You'll work in a collaborative environment where you can pursue ambitious
research with many peta-bytes of data, work on problems that haven’t 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. You'll 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.

Requirements

• 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

Nice To Haves

• PhD, or a Master's degree and experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience in designing experiments and statistical analysis of results
• Experience with deep generative models (GANs, VAEs, diffusion models) for computer vision and image synthesis applications

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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree