Senior Applied Scientist

Last updated yesterday
Location:Bellevue, Washington
Job Type:Full Time

Are you interested in AI and machine learning technology, especially involving speech and language? Are you an expert in deep learning or willing to learn those advance techniques used in Cloud+AI products and services from Microsoft? As one of Microsoft’s most exciting AI initiatives, speech recognition is driving the accuracy and robustness of natural user interfaces with natural spoken language and their deep integration to user facing produce/service from Microsoft 1st party or 3rd party application. The Speech Group develops speech recognition features in Enterprise, Entertainment and Desktop and Mobile products and particularly in the voice platform that powers Microsoft 365 Search and Assistant experience on desktop and mobile computing devices, Bing voice search, Microsoft Office dictation, Skype speech to speech translation, HoloLens and Xbox voice search and voice command.

Our group brings together talents in the areas of signal processing, speech and speaker recognition, statistical modeling and Deep Learning to develop and deliver robust, natural and scalable speech recognition, across a rich set of scenarios and languages. It is also in need of talents who are experienced in information retrieve, natural language processing, search and personal digital assistant technology to help integrate the world and personal knowledge into speech technology/product for best understanding of users’ intents.

Responsibilities

Our group, at its core, values individual creativity and passion and is a place where we expect every scientist/developer to continually grow both technically, and personally. We value people who can bring a diverse perspective to our product and where a scientist/developer will not just develop ML models/build engineering service but will have a real meaningful impact on the direction of the product and which features to build. We are building a team where diversity of thought and background is valued as strongly as technical skills, and where everyone is encouraged to come up with new ideas to make our customers’ lives better. You will find great R&D opportunities on real data sets provided by one of the world’s largest speech/online data feedback loop. You must have a track record of sustained thought leadership, leading innovation and creative vision. You are up to the technical & competitive challenges of a fast-moving technology impacting many of Microsoft’s key businesses.

Essential attributes and competencies include: Excellence in scientific thinking and execution, ability to drive efficient experiment definition and investigations, solid skill in developing state-of-the-art machine learning and SR algorithms, broad scope in solving SR related engineering problems, and passion for new UI paradigms incorporating speech technologies.

Qualifications

  • BS/MS Degree in CS/EE with focus in one or more of machine learning related areas.
  • Knowledge and experience with speech recognition/speaker recognition/audio processing.
  • 5+ years experience in speech recognition or machine learning or NLP R&D in an academic or industrial setting.
  • Proven track record of delivering strong results with high quality.
  • Effective communication skills.

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Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

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