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Research Manager - Speech and Language Technology

Research Manager - Speech and Language Technology

Job ID 
Posted Date 
Amazon Development Center Germany GmbH
Recruiting Team 

Job Description

Interested in Amazon Echo? We’re building the speech and language solutions behind Amazon Echo and other Amazon products and services. Come join us!

As a Research Manager, you will be responsible for leading a team of scientists in the invention, design, development, testing, and deployment of speech and language technology components, supporting a range of products. This involves:
  • Conducting and coordinating research leading to improved accuracy of automatic speech recognition (ASR) and/or natural language understanding (NLU) systems.
  • Owning the strategic planning and project management for technical initiatives.
  • Providing technical and scientific guidance to your team members.
  • Conducting experiments and analyzing field data utilizing programming skills in C/C++ and Python.
  • Communicating effectively with senior management as well as with colleagues from science, engineering and business backgrounds.
  • Supporting the career development of your team members.
The successful candidate will have an established background in developing customer-facing experiences, a strong technical ability, excellent project management skills, great communication skills, and the motivation to achieve results in a fast-paced environment.

Basic Qualifications

  • Graduate degree (Masters or PhD) in computer science, computational linguistics, electrical engineering, applied mathematics, or a related field.
  • 8+ years of relevant work experience OR a PhD and 5+ years of relevant work experience.
  • Comprehensive knowledge of a field of speech and language technology, such as speech recognition or natural language understanding.
  • Solid programming skills.
  • Demonstrated leadership abilities.
  • Excellent written and oral communication skills (English).

Preferred Qualifications

  • Explicit industry experience with spoken language understanding systems.
  • Solid research track record with peer-reviewed publications in related areas.
  • Project management experience.
  • Experience in professional software engineering best practices.