• Machine Learning Scientist

    Company/Location (search) US-MA-Cambridge
    Posted Date 4 days ago(4 days ago)
    Job ID
    692056
    Company
    Amazon.com Services, Inc.
  • Job Description


    Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Audio Signal Processing, text-to-speech (TTS), and Dialog Management, in order to provide the best-possible experience for our customers.
    As a Speech and Language Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.

    Our team focuses on text transformations such as converting between spoken and written form text which is a key part of how data can be used to improve speech recognition accuracy and is also used when speech recognition output is displayed to customers. We have a robust and exciting roadmap of ideas that need innovative solutions.

    Basic Qualifications

    • Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning.
    • Experience with programming languages such as C/C++, Java, Perl or Python.

    Preferred Qualifications

    • Experience in building speech recognition and/or natural language processing systems
    • Experience in machine learning and familiarity with standard speech and/or machine learning techniques.
    • Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
    • Professional software development experience
    • Good written and spoken communication skills.


    Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation

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