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ISCApad Archive  »  2016  »  ISCApad #220  »  Jobs  »  (2016-07-21) Speech Analytics Engineer , SRI, Menlo Park, CA, USA

ISCApad #220

Tuesday, October 11, 2016 by Chris Wellekens

6-20 (2016-07-21) Speech Analytics Engineer , SRI, Menlo Park, CA, USA
  

 

Speech Analytics Engineer

Job Description

SRI’s Speech Technology and Research (STAR) Lab seeks a self-motivated and team-oriented speech engineer to join a team working on modeling of speaker state (for example, emotion and health). The position offers both research and commercial opportunities, and a potential for growth and client interaction. The work will include advancing technology capabilities, understanding client data and conducting experiments involving model development and testing, under current or new projects in this area. This is an opportunity to have a significant impact in an emerging research area.

STAR Lab engages in leading-edge research in speech recognition, speaker characterization, speaker and language identification, machine translation, natural language processing and other areas of speech/language technology, offering opportunities from basic research to prototyping, productization, and widespread deployment. The multidisciplinary research team consists of excellent speech researchers, linguists and software engineers. Characteristics of STAR staff are enthusiasm, self-motivation, initiative, passion for learning, taking ownership, thriving in a flat organizational hierarchy, and a desire to control their own career paths.

SRI International is a premier nonprofit research organization based in Menlo Park, California with a mission to create world-changing solutions making people safer, healthier, and more productive.

Located in the heart of Silicon Valley, the world’s center for innovation and technology, SRI’s focus spans everything from basic research to delivered systems, government and commercial work and spinning off successful companies like SIRI. Flexible cross-laboratory teams often form dynamically to solve challenging problems spanning multiple disciplines.

Requirements

-PhD (preferred) or Master’s degree in electrical engineering or computer science, with experience in advanced speech signal processing and in state of the art machine learning techniques for speech processing.

-Additional background in natural language processing is useful.

-Work experience outside the PhD institution, including internships, is preferred.

-Candidates should have an interest in the topic area, excellent programming skills, be a quick learner, be proactive and efficient, and work well both individually and in teams.

Apply online at www.sri.com/careers

Job ID: 1239BR

SRI is an Equal Employment Opportunity/Affirmative Action Employer


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