Senior Applied Scientist, Machine Learning

Amazon Science
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Job Description

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon's customers? Do you want to build advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the International Machine Learning team for our Consumer Businesses.

If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.

The Senior Applied Scientist at Amazon will be a technical leader working to develop new challenging machine learning applications, services and platforms that optimize Amazon’s systems using cutting edge quantitative techniques. This is one of the most exciting machine learning job opportunities on the internet today. If you have deep technical know how in machine learning, know how to deliver, are highly innovative, are passionate about leading and growing a team and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.


  • PhD degree with 4+ years of applied research experience or a Master's degree and 6+ years of experience of applied research experience
  • 3+ years of experience in building machine learning models for business application
  • Experience programming in Java, C++, Python or related language
  • A PhD in CS machine learning, Engineering, Statistics, Operations research or in a highly quantitative field
  • Experience developing and implementing machine learning algorithms and models. Strong demonstrated skills implementing and deploying large scale machine learning applications and tools.
  • Hands-on experience in solution design, programming and prototyping for predictive analytics applications
  • Communication and data presentation skills
  • Problem solving ability.


  • Solid background in Computer Vision, Natural Language processing, Search and information retrieval, recommendation systems.
  • Familiar with deep learning algorithms
  • Programming experience in Java/C/C++
  • Experience with use of Amazon Web Services and cloud computing technologies
  • - Experience with distributed systems for processing large data is a plus
  • Familiar with Hadoop, Spark, Hive/Pig will be a plus.
  • Ability to handle multiple competing priorities in a fast-paced environment

Company Info.

Amazon Science

Amazon Science examines the company’s approach to scientific innovation. Amazon believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields.

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Amazon Science is currently hiring Senior Applied Scientist Jobs in Seattle, WA, USA with average base salary of $160,000 - $240,000 / Year.

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