Software Dev Engineer
Posted on: 6 Feb 2021
Seattle, WA
Job Description
DESCRIPTION
The EconTech team (ET) applies Machine Learning, Causal Inference, and Econometric/Economic Methodologies to derive actionable insights about the complex economy of Amazons retail business. We also develop Statistical Models and Algorithms to drive strategic business decisions and improve operations. We are an interdisciplinary team of Economists, Engineers, and Scientists incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.
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. If you are interested in Machine Learning, Reinforcement Learning, large-scale, low-latency distributed systems and can build the software that use the models, this is the role you have been looking for.
We are a Day 1 team, with a charter to be disruptive through the use of ML and bridge the Science and Engineering gaps that exist for engineers today. You will start on green field projects working with Principal Scientists to bring our models to life. We are an inclusive team, and are looking for SDEs that aren't averse to learning and building predictive models alongside our scientists.
BASIC QUALIFICATIONS
Bachelors 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
basic understanding of machine learning and economics
PREFERRED QUALIFICATIONS
Experience building large-scale machine-learning models
Experience with Big Data technologies such as AWS, Hadoop, Spark
Experience building complex software systems that have been successfully delivered to customers
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Experience with machine learning, data mining, and/or statistical analysis tools
Amazon.com
Seattle, WA
Amazon.com, Inc. engages in the retail sale of consumer products and subscriptions in North America and internationally. The company operates through three segments: North America, International, and Amazon Web Services (AWS) segments. It sells merchandise and content purchased for resale from third-party sellers through physical stores and online stores.
The company also manufactures and sells electronic devices, including Kindle e-readers, Fire tablets, Fire TVs, and Echo devices; provides Kindle Direct Publishing, an online service that allows independent authors and publishers to make their books available in the Kindle Store; and develops and produces media content.
In addition, it offers programs that enable sellers to sell their products on its Websites, as well as their own branded Websites; and programs that allow authors, musicians, filmmakers, skill and app developers, and others to publish and sell content. Further, the company provides compute, storage, database, and other AWS services, as well as compute, storage, database offerings, fulfillment, publishing, digital content subscriptions, advertising, and co-branded credit card agreement services.
Additionally, it offers Amazon Prime, a membership program, which provides free shipping of various items; access to streaming of movies and TV episodes; and other services. It serves consumers, sellers, developers, enterprises, and content creators. Amazon.com, Inc. has a strategic partnership with Volkswagen AG. The company was founded in 1994 and is headquartered in Seattle, Washington.
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IndustryInformation Technology
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No. of Employees647,500
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Website
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Jobs Posted12764
