Applied Research Scientist, Speech Recognition Acoustic Modeling at Facebook
Menlo Park, CA, US
Facebook is seeking Speech Recognition Research Scientist to join our Speech Team in Menlo Park. We are looking for experienced applied researchers in machine learning and AI with strong software engineering skills. The Speech Team is part of the Applied Machine Learning's organization. The team carries out applied research in the Audio and Speech areas. The team has launched video captioning for Facebook's video products including Ads and Instagram and continues to evolve and optimize its ML / AI algorithms for speech recognition and video understanding offerings for rest of Facebook. The ideal candidate will have research experience developing speech recognition systems in different languages. Individuals in this role should be experts in acoustic modeling, including discriminative training, neural networks, and machine learning, and have experience working on large quantities of data. The candidate will help Facebook conduct research that support naturally spoken input in more than 70 languages.

Applied Research Scientist, Speech Recognition Acoustic Modeling Responsibilities
  • Optimizing acoustic model training procedures especially discriminative training for using large amounts of audio data in different languages
  • Work closely with other speech recognition experts and researchers on implementing algorithms that power user and developer-facing products
  • Be responsible for measuring and optimizing the quality of your algorithms
  • Build integrated speech recognition systems and perform evaluations
Minimum Qualifications
  • M.S. or Ph.D. in Computer Science, Speech Recognition or Machine Learning
  • Experience with scripting languages such as Perl, Python, PHP, and shell scripts
  • Experience in C/C++
Preferred Qualifications
  • Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable
  • Fluency in at least 2 natural languages
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