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  • Principal, Applied Scientist

    Amazon (New York, NY)



    Apply Now

    Description

    MULTIPLE POSITIONS AVAILABLE

    Employer: AMAZON.COM SERVICES LLC

     

    Offered Position: Principal, Applied Scientist

     

    Job Location: New York, New York

     

    Job Number: AMZ9160640

    Position Responsibilities:

    Develops and prototypes innovative machine learning (ML) and deep learning algorithms while implementing, testing, and supporting production solutions. Serve as strategic advisors to science, product and engineering partners, providing intellectual thought leadership to enhance science initiatives. Involves directing science strategy for ML-driven innovations and leading efforts in Generative AI to advance customer features. Partner with business and engineering teams to identify and solve large or significantly complex technical problems. Work closely with peers to advance state-of-the-art research while participating in organizational planning, hiring, and mentorship activities.

    Position Requirements:

    Master's degree or foreign equivalent degree in Machine Learning, Computer Science, Operations Research, Statistics, Applied Mathematics, or a related quantitative field and five years of experience in the job offered or a related occupation. Must have five years of experience in the following skills: (1) applying machine learning to solve complex technical problems and developing algorithms and models for large-scale applications; (2) working with programming languages like Java, Python, or related; (3) hands-on experience with deep learning frameworks (PyTorch and TensorFlow) and practical application of machine learning techniques including deep learning, computer vision, NLP, or speech processing; and (4) distilling

     

    informal customer requirements into problem definitions.

     

    Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

     

    40 hours / week, 8:00am-5:00pm, Salary Range $218,800/year to $295,900/year.

     

    Amazon is a total compensation company. 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. For more information, visit:

     

    https://www.aboutamazon.com/workplace/employee-benefits. #0000

    Basic Qualifications

    Position Requirements:

    Master's degree or foreign equivalent degree in Machine Learning, Computer Science, Operations Research, Statistics, Applied Mathematics, or a related quantitative field and five years of experience in the job offered or a related occupation. Must have five years of experience in the following skills: (1) applying machine learning to solve complex technical problems and developing algorithms and models for large-scale applications; (2) working with programming languages like Java, Python, or related; (3) hands-on experience with deep learning frameworks (PyTorch and TensorFlow) and practical application of machine learning techniques including deep learning, computer vision, NLP, or speech processing; and (4) distilling

     

    informal customer requirements into problem definitions. #0000

    Preferred Qualifications

    Please see job description and the position requirements above.

     

    Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

     

    Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

     


    Apply Now



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