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Speech Recognition Engineer

NLP Expert - Spoken Dialogue Systems - €60,000 to € 65,000 - Berlin

Hands on technical position in our client's dedicated NLP team. This position requires an expert in speech recognition who is vastly experienced in building quality spoken dialogue products.

Are you interested in joining one of the most talked-about automotive start-ups in Germany?

Excited by speech systems that will be compared to the likes of Alexa, Siri and Google's Voice Assistant?

Want to be part of a company that puts machine learning and data first?

Our client, a rapidly growing, automotive scale-up business is looking to grow their NLU team by 50% in 2019. With the increase of projects surrounding their production-ready speech recognition systems, they are looking to bring on an experienced engineer who can bring the system to production level code.

The role will involve the following responsibilities:

  • Provide clean code in Python and C++ with an option to work in Java as well.
  • Collection of speech data for acoustic dialogue models
  • Proactive development and enhancements to current models
  • Find, solve, test and maintain bottlenecks to provide accuracy in speech recognition system
  • Provide detailed reports of all designs and procedures
  • Actively improve decoder algorithms performance

The ideal candidate will have the following expertise:

  • Fluency in English language written and spoken
  • Background in statistics and speech/linguistics
  • Advanced machine learning knowledge - Particular Hidden Markov and Gaussian Mixture models
  • Vast experience in statistical language modelling is a must
  • Programming skills in Python and C++
  • Nice to have - knowledge of Pocketsphinx and Kaldi ASR

Perks and Benefits:

  • Join a dedicated NLP team of 5 specialists in machine learning, dialogue management and implementation of big data systems
  • Join a business putting together one of the most talked about start up products that Germany has to offer
  • Office in the centre of Berlin
  • Regular team events
  • Remote days after probation