Machine Learning Scientist

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Machine Learning Scientist

Country of Position: 
Contact Name: 
Vikrant Tomar
Subject Area: 
Speech and Language Processing
Start Date: 
03 April 2017
Expiration Date: 
01 August 2017
Position Description: is seeking an experienced scientist with a strong background in speech recognition, signal processing and machine learning. You are a creative and motivated individual with a keen interest in growing in an exciting start-up environment. You will be part of a team that delivers complex, scalable software solutions for applications based on speech recognition.

You will be responsible for design, development, test, and deployment of speech models supporting a range of products and services. With other members of the team, you will push the frontiers of machine learning and speech recognition research in order to develop advanced solutions. 

We are looking for the following qualifications:

  • PhD with a focus on machine learning and/or speech recognition (acoustic modelling) or 5+ years of experience in conducting speech and/or machine learning based research
  • Proficiency in Python and/or C/C++
  • Familiarity with various deep learning technique and available libraries
  • Familiarity with scientific computing libraries is a plus
  • Positive team player attitude with strong verbal and written communication skills
  • Ability to handle multiple competing priorities
  • Self-motivation and willingness to do what it takes to get the job done
  • Creative thinking and a strong research background with good publication record

What we offer:

We offer a great working environment and a competitive mix of salary and options. We are keen to interact with talented people and will get back to the selected candidates quickly. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on origin, religion, gender, age, sexual orientation, or disability.

Apply directly at Please attach your resume and a note explaining why you are the right person for us! You should include a list of publications, and some details of the models/technologies you have used.

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