Applied Scientist

Amazon Web Services
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Job Description

Job summary

Interested to help us building new speech and language technology for Amazon Web Services?

Amazon is looking for a passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading human language technology. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Automatic Speech Recognition (ASR), Machine Translation (MT), Text-To-Speech (TTS), and Machine Learning (ML).

As member of our AI team at Amazon AWS, you will work alongside internationally recognized experts to develop novel deep learning models to advance the state-of-the-art in speech and text translation systems. Your work will directly impact millions of our customers in the form of products and services that make use of speech and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, and structured data sources, and large-scale computing resources to accelerate advances in speech and text translation. You will be responsible for providing leadership and mentorship to others within the Amazon AI Science teams.

We are hiring in all areas of human language technology, with special focus on Deep Learning (DL) models for speech recognition, machine translation and text-to-speech.

About Us

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.


  • PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
  • 2+ years of experience of building machine learning models for business application
  • Experience programming in Java, C++, Python or related language
  • Graduate degree (MS or PhD) in Electrical Engineering, Computer Science, Mathematics or Physics with specialization in natural language processing or machine learning.
  • Comprehensive and deep knowledge of a relevant field of research, such as ML and NLP.
  • Solid programming skills.
  • Experience using Unix/Linux.
  • Good written and oral communication skills (English).


  • Experience in developing neural ASR, MT, or TTS systems (research or commercial).
  • Solid ML background and familiarity with standard DL-based MT/ASR/TTS and ML techniques.
  • Scientific thinking and ability to invent, a track record of contributions that have advanced the field.
  • Solid software development experience with DL frameworks (MXNET, TensorFlow, PyTorch, etc.)
  • Proven proficiency in programming with Python, Java, or C++

Company Info.

Amazon Web Services

Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide a variety of basic abstract technical infrastructure and distributed computing building blocks and tools. One of these services is Amazon Elastic Compute Cloud (EC2).

  • Industry
    Information Technology
  • No. of Employees
  • Location
    410 Terry Ave N, Seattle, WA, USA
  • Website
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