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You'll work in a collaborative environment where you will deploy and scale ML solutions to peta-bytes of data, work on problems that haven’t been solved before, and understand whether they succeed via statistically relevant experiments across millions of customers. 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, big data, and building scalable solutions, this role is for you.
The successful candidate will have a PhD in Computer Science, Statistics, or Engineering with a strong focus on data analysis, machine learning, generative AI or a related field, and 5+ years of practical experience solving complex problems in computer vision, anomaly detection, robotics. or multi-modal classification systems. Manufacturing, packaging and/or logistic experience is a plus, but not a requirement.
Key job responsibilities
- Ph.D. degree in Computer Science, Statistics, Machine Learning, or a related field with publications in refereed academic conferences and journals
- 5+ years of experience of solving difficult machine learning, optimization, or statistical business problems
- Experience programming in Python, Java, C++ or a related language
- Proven track record of bringing advanced science solutions to production
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