Data and Applied Scientist
San Jose, San José, Costa Rica
hace 2 días

Do you want to be part of the team that shapes the audio experience of millions of users? Our team powers the audio stack for Microsoft’s real-time communication solutions, including Skype and Microsoft Teams - the fastest growing application in Microsoft’s history and we are looking for an exceptional audio machine learning engineer to help us grow even further.

We recently announced deep learning based noise suppression in Teams and more innovations are on the way. As part of the audio team, you will be working on cutting-edge signal processing and machine learning technologies to provide excellent audio quality to our customers across a variety of devices and networks.

You will be part of a team of talented audio and ML experts with rich experience and will collaborate with research groups across Microsoft.


  • Design, build and operate the entire ML cycle from data collection, model design, training, validation, deployment and AB test inproduction
  • Apply deep learning to improve audio quality forTeamsusers.Work across the product lifecycle from prototyping proof-of-concepts to shipping production-grademodels
  • Remain up to date withlatestadvancements, trends and research in the area and apply them in our products.Contributetowardsbuilding our intellectual property portfolio in the audioML area
  • Collaborate with other engineering teams across the company to ensure end-to-end integration with existing products andplatforms
  • Qualifications

    Required qualifications :

  • 3+ years of experience in research and development of machine learning based solutions for speech / audio processing in one or more areas such as speech enhancement, recognition, synthesis, voice activity detection, sound classification, etc.
  • Working knowledge of building deep learning models using one of the well-known frameworks (Pytorch,Tensorflow,Keras)
  • Mastersdegree in ComputerScience, ElectricalEngineeringor related area
  • Preferredqualifications :

  • PhDinComputerScience, ElectricalEngineering or relatedarea
  • Background in digital signal processing, speech modeling / perception
  • M365Core

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