Applied Scientist - Automatic Speech Recognition, Alexa

Bewirb dich auf der Webseite des Arbeitgebers

BESCHREIBUNG

Job summary
Interested in Amazon Alexa? We’re building the speech and language solutions behind Amazon Echo 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), Natural Language Understanding (NLU) and Machine Learning (ML).

Key job responsibilities
As a Scientist on our team, you will build, extend and optimize cutting-edge spoken language understanding systems and conduct core research aimed at advancing the state of the art.

This involves but is not limited to:
· 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, Java and/or C++.
· Conducting experiments to assess the quality of speech recognition and natural language processing 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.

A day in the life
As part of our speech and language team, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to build and advance state-of-the-art spoken language understanding 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 spoken language understanding.

About the team
We build automatic speech recognition (ASR) technology and models that translate speech to text. We provide verbatim ASR output along with additional information, e.g., about the uncertainty of the ASR system, to downstream consumers in the Alexa stack. We develop technology for building models to run in-cloud, on-premises, and on-device.

We are hiring in all areas of spoken language understanding with a special focus on language modeling, finite state methods, etc.

GRUNDQUALIFIKATIONEN

· 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).

BEVORZUGTE QUALIFIKATIONEN

· 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, Java 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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

m/w/d

Art des Stellenangebotes:
Intern

Fähigkeiten

  • Es ist kein Abschluss erforderlich
Jetzt bewerben

Bewirb dich auf der Webseite des Arbeitgebers

Oder bewirb dich später