Job description

Senior Machine Learning (Speech) Engineer

Location :
Kyiv
We are ready to offer :
  • Opportunity to work at a start-up environment and international team
  • Generous terms and equity as we want our employees to share in Verbit’s success
  • Relocation program for people from other cities
About the project :

It is a leading transcription and captioning solution that fuses artificial and human intelligence to provide 99.9% accuracy at a rate 10 times faster than the industry standard.
Built on self-learning algorithms, this is platform that leverages contextual data, specific acoustic models and current events to provide each customer with a tailored model that keeps improving with time.
This is a flexible cloud system includes customizable templates and allows users to upload files directly, via API or through integrations with leading platforms like YouTube, Kaltura, Panopto and Vimeo.
An intuitive user interface enables seamless editing, reviewing and collaboration for clients and transcribers alike.

Requirements :
  • 5+ years experience with applied Machine Learning
  • Experience with ML python tools such as Scikit, Tensorflow, Keras, Numpy
  • Experience with NLP tools such as SRILM
  • Experience with ASR
  • Comfortable with Python, feels at home on Linux
  • PhD in Computer science, Math or similar
  • Experience leading applied research independently or with a team
  • Highly self driven and responsible
Expectations :

As a Senior Machine Learning Engineer, you will build, extend and optimize spoken language understanding systems:

  • Implementing and improving acoustic modeling tools, training recipes and prototypes in Kaldi utilizing programming skills in Python and/or C++
  • Conducting experiments to assess the quality of speech recognition and natural language processing models and to study the effectiveness of different modeling techniques
  • Work on ASR related tasks such as music detection or speaker diarization
  • Presenting and discussing ideas and results
Expected day-today :
  • Train and assess acoustic and language models using existing or modified recipes in Kaldi
  • Work with NLP tasks such us text classification or punctuation error identification using PyTorch and/or TensorFlow
  • Work on ASR related tasks such as music detection or speaker diarization
  • Deploy ML models into production
our office life

WHAT WE OFFER

  •  Beautiful and 
comfortable offices Beautiful and
    comfortable offices
  • Convenient work 
schedule Convenient work
    schedule “Good morning”
  •  Opportunity to manage 
your work time independently Opportunity to manage
    your work time independently
  •  English speaking club, tea day, 
pizza day and many other events in office English speaking club, tea day,
    pizza day and many other events in office
  • Interesting projects 
and opportunity for career growth Interesting projects
    and opportunity for career growth
keep in touch
Herzliya Pituach, Israel
Kharkiv, Ukraine
Kyiv, Ukraine
contact us





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