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Remote Speech Recognition Research Scientist/Engineer Job in San Jose, CA Pearson

Speech Recognition Research Scientist/Engineer Pearson
Data AnalysisData AnalyticsDeep LearningEnglishNatural Language ProcessingOralSpeech RecognitionStatistical AnalysisStatistical Modeling
San JoseCA
34195+ employees
Education


Role


Who you are

  • Master's in computer science, Electrical Engineer or relevant areas with 1-3 years working experience
  • Strong desire to integrate research with product development
  • Solid programming in C/C++
  • Proficiency with SQL, Perl (or Python) and Matlab (or R)
  • Skilled knowledge of speech recognition, probabilistic systems, statistical models
  • Strong background in statistical modeling and machine learning
  • Demonstrate a willingness to learn and apply a wide range of technologies
  • Experience with linguistic and statistical analysis of natural language highly desirable
  • Experience in designing and running ASR (Automated Speech Recognition) experiments using HTK or KALDI a plus
  • Strong written and verbal communication skills


What the job involves

  • Perform entire R&D cycle for new and existing products that use ASR and automated grading
  • Design new algorithms for different purposes
  • Perform data analysis for different requirements
  • Proactively research ways to apply latest methodologies to improve the automated grading system’s capability, reliability and accuracy
  • Maintain grading system

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Company


Company mission

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. That's why our c. 18,000 Pearson employees are committed to creating vibrant and enriching learning experiences designed for real-life impact. We are the world's lifelong learning company, serving customers in nearly 200 countries with digital content, assessments, qualifications, and data. For us, learning isn't just what we do. It's who we are.



Company values

  • Innovation
  • Impact
  • Dedication
  • Empowerment


Company HQ

London
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