Do you want to be part of a team that's revolutionizing Amazon's fulfillment and packaging technology? Can you commit to optimizing 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?
Your Optimization skills can help make that a reality on the Mechatronics and Sustainable Packaging team. We are seeking a Principal Applied Scientist/Operations Researcher who will join a team of experts in the field of Machine Learning (ML), Statistics, Operational Research, Computer Vision and Generative AI to work together to break new ground in the world of automated packaging solutions.
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.
The successful candidate will have a PhD in Operations Research (OR), Computer Science, or Engineering with a strong focus on constrained optimization and 10+ years of practical experience solving complex OR problems. Manufacturing, packaging and/or logistic experience is a plus, but not a requirement
Key job responsibilities
- Advance exploratory research projects in operations research , machine learning, and related fields to create defect-free packaging customer experiences
- Analyze large amounts of Amazon shipments to discover patterns, find opportunities, and develop highly innovative, scalable algorithms to seize these opportunities
- Validate new or improved models via statistically relevant experiments across millions of customers
- Work closely with software engineering teams to build scalable prototypes for testing, and integrate successful models and algorithms in production systems at very large scale
