• Applied Scientist, Alexa Edge AI

    Amazon (Boston, MA)


    Description

    The Alexa Edge AI team under Alexa Ambient Computing Tech Organization is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to develop novel machine learning algorithms and advance the state of the art in speech and audio processing.

    Key job responsibilities

    • Conduct applied research project(s) effectively and know when to ask for help and when to work independently

    • Engage with an experienced cross-disciplinary staff to conceive and design innovative solutions for consumer products.

    • Actively participate and contribute to research activities including publications and patents

    • Work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test.

    • Be proactive, flexible and able to succeed within an open collaborative peer environment

    A day in the life

     

    An Applied Scientist with the Alexa Edge AI team will support science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into production.

     

    About the team

     

    The Alexa Edge AI team has a mission to deliver best in class, resource efficient machine learning models for devices like Echo Show series within Amazon.

    Basic Qualifications

    - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

     

    - 1+ years of building models for business application experience

     

    - Experience programming in C++, Python or related language

     

    - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

    Preferred Qualifications

    - Experience with popular deep learning frameworks such as Pytorch and TensorFlow

    - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)

     

    - Experience in designing experiments and statistical analysis of results

     

    - Experience in professional software development

     

    - Experience in patents or publications at top-tier peer-reviewed conferences or journals

     

    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.