Offers “Amazon”

Expires soon Amazon

Machine Learning Engineer

  • Seattle (King)
  • Design / Civil engineering / Industrial engineering

Job description

DESCRIPTION

The NA Consumer Economics team uses Economics, Statistics, and Machine Learning to understand and influence the complex economy of Amazon's 3rd party sellers. In Consumer, we are driven to help the world's entrepreneurs grow their businesses by delivering a great experience -- selection, quality, and low prices -- to customers on Amazon.com. We are an interdisciplinary team, committed to using cutting edge technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon.

Our goal is to minimize the friction of transactions between customer and sellers at Amazon.com using predictive models and causal inference. You will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services. You will partner with scientists, economists, and engineers to help invent and implement scalable ML and econometric models while building tools to help our customers gain and apply insights.

This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale economic problems, enable measurable actions on the Consumer economy, and work closely with scientists and economists. We are particularly interested in candidates with experience building predictive models and working with distributed systems.

Desired profile

BASIC QUALIFICATIONS

· Bachelor's Degree in Computer Science or related field
· Computer Science fundamentals in object-oriented design
· Computer Science fundamentals in data structures
· Computer Science fundamentals in algorithm design, problem solving, and complexity analysis
· Proficiency in, at least, one modern programming language such as Java, C++, C#

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