Sr. Applied Scientist

About the role

How can we improve the customer experience by tailoring what we display on our pages based on available data? How do we build models that help us innovate in different ways to enhance customer experience? What is the relationship between what customers do on the site vs. what they actually buy? How do we do all of this without asking the customer a single question?

Our team's stated mission is to "grow each customer’s relationship with Amazon by leveraging our deep understanding of them to provide relevant and timely product, program, and content recommendations." Recommendations at Amazon help customers discover products. We strive to better understand how customers shop on Amazon (and elsewhere) and build recommendations models to streamline the shopping experience by showing the right products at the right time. Understanding the complexities of customers' shopping needs and helping them explore the depth and breadth of Amazon's catalog is a challenge we take on every day.

Using Amazon’s large-scale computing resources, you will ask research questions about customer behavior, build state-of-the-art models to generate recommendations, and run these models directly on the retail website. You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML. Your work will directly benefit customers and the retail business, and you will measure the impact using scientific tools.

We are looking for a passionate, hard-working, and talented Applied Scientist who has experience building mission-critical, high-volume applications that customers love. You will have an opportunity to make an enormous impact on the design, architecture, and implementation of cutting-edge products used every day by people you know.

Qualifications

• 4+ years of building machine learning models for business applications
• PhD, or Master's degree and 4+ years of applied research experience
• Experience programming in Java, C++, Python, or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy, etc.
• Experience with large-scale distributed systems such as Hadoop, Spark, etc.
• Experience in building machine learning models for business applications
• Experience with large-scale machine learning systems, including profiling, debugging, and understanding system performance and scalability

Pay

USA, WA, Seattle - $167,100.00 - $226,100.00 USD annually

Benefits

• Sign-on payments and restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and option for Supplemental life plans)
• Employee Assistance Program (EAP), Mental Health Support, Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

Learn more about our benefits at amazon.jobs/en/benefits.