Applied Scientist, Automatic Speech Recognition

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Job summary
Interested in Amazon Alexa? We’re building the speech recognition behind Amazon Alexa and other Amazon products and services. Come join us!

Amazon is looking for passionate, talented, and inventive Scientists to help build world-leading Speech and Language technology. Our mission is to create a delightful experience to Amazon’s customers by advancing the state of the art in Automatic Speech Recognition (ASR) and Machine Learning (ML).

Key job responsibilities
As part of our speech recognition team, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to build and advance state-of-the-art speech recognition systems. Your work will directly impact millions of our customers in the form of products and services that make use of speech 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 recognition.

We are hiring in all areas of speech recognition with a special focus on all-neural ASR and acoustic modeling etc.

Candidates should have a strong background in machine learning, statistics, and coding, are eager to learn and have a "can do" attitude.

As an Applied Scientist on our team, you will build, extend and optimize cutting-edge speech recognition systems and conduct core research aimed at advancing the state of the art. This involves:
· Researching the latest modeling techniques. Understanding trade-offs between competing approaches, and identifying the ones that are likely to have real impact on our customers.
· Implementing and improving modeling tools, training recipes and prototypes utilizing programming skills in Python and/or C++.
· Conducting experiments to assess the quality of speech recognition models and to study the effectiveness of different modeling techniques.
· Analyzing field data in order to identify areas of possible improvement or enhancement of the system.
· Presenting and discussing ideas and results within the team and with internal stakeholders.


· Graduate degree (Masters or PhD) in computer science, computational linguistics, electrical engineering, applied mathematics, or a related field.
· Comprehensive and deep knowledge of a relevant field of research, such as machine learning, statistical modeling, speech processing, natural language processing, machine translation.
· Solid programming skills.
· Experience using Unix/Linux.
· Dependable written and oral communication skills (English).


· Explicit (industry or academic) experience with with large vocabulary speech recognition
· PhD or 5+ years of relevant work experience.
· Be an avid programmer, with extensive expertise in Python or C++.
· Expertise any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
· Experience in professional software development.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.


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