Applied Scientist, Search Experimentation and ML - Seattle - Amazon

    Amazon
    Amazon Seattle

    3 days ago

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    Description

    Applied Scientist, Search Experimentation and Machine Learning

    Job Title: Applied Scientist, Search Experimentation and Machine Learning | Amazon.com Services LLC

    Amazon's Search Science and Artificial Intelligence team develops machine learning algorithms that connect customers worldwide with products that delight them. We harness cutting-edge machine learning at Amazon's scale to simplify the customer experience.

    We have a significant impact. For example, if your innovations save even 1 minute per customer per year, then for every 100 million customers, you save approximately 190 years of human effort.

    Key Job Responsibilities

    You will build search ranking systems that work for thousands of product types, billions of queries, and hundreds of millions of customers spread around the world. As an Applied Scientist, you will find the next set of big improvements to ranking, leverage large datasets to understand the complexities of customer behavior, and develop machine learning models that work at Amazon scale. In addition to typical topics in ranking, we are particularly interested in exploration techniques and reinforcement learning.

    A Day in the Life

    Our primary focus is improving search ranking systems. On a day-to-day basis, this means building machine learning models, analyzing data from recent A/B tests, and guiding teams on best practices. You will also participate in meetings with business and tech leaders at Amazon to communicate your next big initiative.

    About the Team

    We are a team consisting of machine learning scientists and software engineers. Our interests and activities span machine learning for better ranking, statistics for better decision making, and infrastructure to make it all happen at scale and efficiently.

    Basic Qualifications

    - At least 3 years of experience building models for business applications
    - PhD or Master's degree in Computer Science, Electrical Engineering, Machine Learning, or related field with at least 4 years of experience
    - Experience in patents or publications at top-tier peer-reviewed conferences or journals
    - Experience programming in Java, C++, Python, or related language
    - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

    PREFERRED QUALIFICATIONS

    - Experience using Unix/Linux
    - Experience in professional software development



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