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Applied Scientist - Speech - Internship

Applied Scientist - Speech - Internship

Job ID 
Posted Date 
IVONA Software Sp. z o.o.
Recruiting Team 

Job Description

Want to work on one of the coolest and most innovative pieces of technology in the recent years? We built the Amazon Alexa, the Amazon cloud service that powers devices such as Amazon Echo, FireTV, Amazon Tap and Echo Dot. And this is just the beginning. We’re on to build the Star Trek computer and you have a chance to be part of this. Come join us, together we will revolutionize the way people interact with devices and services! We are inventing the future.

As a Speech and Language Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in speech synthesis. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in speech synthesis.

We offer for an Intern:
  • Positive and friendly atmosphere within an ambitious and professional team, developing some of the most innovative projects in the world.
  • Opportunity to transform internship into full time employment and develop a career in a reputable and dynamic company with global reach.
  • Attractive conditions of internship.
  • Opportunity to work with the best TTS technology in the world and learn how to build new voices.

Basic Qualifications

  • Experience in Computer Sciences, Machine Learning, or related technical field.
  • Proven track record in language research and development for Text-To-Speech, Automatic Speech Recognition or Natural Language processing
  • Scientific thinking and the ability to invent
  • Familiar with programming languages such as C/C++, Java, Perl or Python.

Preferred Qualifications

  • Experience in building text-to-speech, speech recognition or natural language processing systems (e.g. commercial speech products or government speech projects)
  • Solid Machine Learning background and familiar with standard speech and machine learning techniques.
  • Solid software development experience