Senior Applied Scientist, Amazon Go
1 month ago
As a Senior Applied Scientist on the Amazon Go team, you will be responsible for developing and implementing machine learning models that enable our checkout-free shopping experience. You will work closely with cross-functional teams to design and build innovative solutions that drive business growth and customer satisfaction.
About the Team
The Amazon Go team is a dynamic and entrepreneurial group that is passionate about using machine learning to transform the retail experience. We are looking for talented scientists who are excited about the opportunity to work on cutting-edge projects and make a meaningful impact on our customers.
What You'll Do
* Develop and deploy machine learning models that enable our checkout-free shopping experience
* Collaborate with cross-functional teams to design and build innovative solutions
* Work closely with engineers and product managers to ensure seamless integration with our retail platform
* Stay up-to-date with the latest advancements in machine learning and apply them to our business
What You'll Need
* 3+ years of experience building machine learning models for business applications
* PhD or Master's degree in Computer Science or related field
* Strong programming skills in Java, C++, or Python
* Experience with neural deep learning methods and machine learning frameworks
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
About AWS
AWS is committed to diversity, equity, and inclusion. We believe that a diverse and inclusive workplace is a key driver of innovation and success. We strive to create an environment where everyone feels welcome, valued, and empowered to contribute their best work.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
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