Senior Applied Scientist at Microsoft

Senior Applied Scientist Details

Jan. 10, 2019, 4:26 a.m.
Engineering
Individual Contributor
Full-Time
Bellevue, WA
The Speech Group
We are hiring Scientists/Engineers with outstanding machine learning (ML) and speech recognition (SR) technology development skills to advance Microsoft's core speech technology. As one of Microsoft's most exciting artificial intelligence and perception initiatives, SR is driving the accuracy and robustness of natural user interfaces with the science and technology that enable the user experiences and power our cloud services and clients/devices. The Speech Group develops SR platforms and experience for enterprise and consumer products running both on network servers and on client devices. Our voice platforms power meeting transcription and summarization, Cortana digital assistant experience on desktop/laptop, smart speaker, home and mobile devices, Skype speech to speech translation, HoloLens and Xbox voice search and command/control, and Microsoft Cognitive APIs. We develop and deliver robust, natural and scalable SR across a rich set of scenarios and languages. Our group brings together

Job responsibility includes defining project requirements, creating plans, and executing projects across product releases in the areas of SR core technology, algorithm, and/or computing infrastructure You must have a track record of innovation and thought leadership. You are up to the technical and competitive challenges of a fast-moving technology area.
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 ML or SR algorithms, broad scope in solving ML or SR related engineering problems, and passion for new user-interface paradigms incorporating speech technologies. Additional qualifications include: PhD (or candidate) in CS/EE with focus in one or more of ML, signal processing, statistical modeling, search and optimization, or equivalent experience; SR or ML R and D in an academic or commercial
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