Sr. Applied Scientist , Amazon

Amazon • Seattle, WA

9d • Onsite

About The Position

Our team's mission is to grow each customer’s relationship with Amazon by leveraging a deep understanding of them to provide relevant and timely product, program, and content recommendations. Recommendations at Amazon help customers discover products. The team strives to better understand how customers shop on Amazon (and elsewhere) and build recommendation models to streamline their 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 daily challenge. This role involves using Amazon’s large-scale computing resources to ask research questions about customer behavior, build state-of-the-art models to generate recommendations, and run these models directly on the retail website. The successful candidate will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML. The work will directly benefit customers and the retail business, with impact measured 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, with an opportunity to make an enormous impact on the design, architecture, and implementation of cutting-edge products.

Requirements

• 4+ years of building machine learning models for business application experience
• 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

Nice To Haves

• 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 application
• Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability

Responsibilities

• Ask research questions about customer behavior
• Build state-of-the-art models to generate recommendations
• Run these models directly on the retail website
• Participate in the Amazon ML community
• Mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML
• Make an enormous impact on the design, architecture, and implementation of cutting edge products

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
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior