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    Deep Learning Research Scientist - Culver City, CA, United States - Amazon

    Amazon
    Amazon Culver City, CA, United States

    3 weeks ago

    Amazon background
    Description
    At Audible, that means each role and every project has our audience in mind. Because the same people who design, develop, and deploy our products also happen to use them.

    As a Principal Applied Scientist, you will solve large complex real-world problems at scale, draw inspiration from the latest science and technology to empower undefined/untapped business use cases, delve into customer requirements, collaborate with tech and product teams on design, and create production-ready models that span various domains, including machine learning, artificial intelligence (AI), natural language processing (NLP), reinforcement learning (RL), real-time and distributed systems.

    Your decision-making will consistently incorporate robust, data-driven business and technical judgment.

    You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon and to foster valuable scientific partnership opportunities to help/guide strategic science decisions.

    You will have the opportunity to innovate, invent, think big, and streamline cutting-edge optimization services and algorithms to influence the experiences of millions of customers.

    Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features

    As a leading creator and provider of premium audio storytelling, we've redefined the ways people access, discover, and share stories.

    The stories we tell have the ability to transport and transform everyday moments into meaningful experiences and it's our people who make Audible's service possible.

    Audible offers a Hub+Home hybrid workplace model that gives employees flexibility between gathering in an Audible workspace (work from hub) and remote work (work from home).


    PhD in one of the following disciplines:
    Computer Science, Machine Learning, Statistics, Data Science, Applied Math, Operational Research or a related quantitative field
    10+ years of industry experience in Deep learning, Natural Language Processing/understanding, Reinforcement learning, and Speech processing
    Fluency in Python, SQL or similar scripting languages and skilled at Java, C++, or other programing languages.
    Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms
    Big Data Engineering with Spark / AWS EMR & Glue
    Experience with Agile Software Development
    Domain knowledge of comparable products (digital, retail)
    Publications at top-tier peer-reviewed conferences or journals in one of those areas (natural language processing/understanding, deep learning, machine learning, or speech processing)

    Audible is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

    For individuals with disabilities who would like to request an accommodation, please visit

    Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

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