AMVETS Jobs

The Intelligent Conversation and Communications Cloud AI group applies machine learning to problems in advanced teleconferencing scenarios that are used by hundreds of millions of customers worldwide (via Skype and Teams). We develop fundamental technologies and do applied research and development to enable better customer experiences for real-time collaboration. We are seeking a highly capable Principal Applied Scientist who is passionate about machine learning and driven to make an impact.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Apply machine learning to improve existing and develop new algorithms to improve Skype/Teams real-time collaboration quality and reliability

• Understand and be able to leverage core concepts of video and/or audio processing

• Design, develop, and own components, tools, platforms, and systems for real-time media communication and collaboration.

• Drive independent investigations resulting in shipping product code, patents, and publications

Qualifications

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)

• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)

• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)

• OR equivalent experience.

• Experience in creating high performance speech enhancement models, both through shipping products and publications.

• Experience in machine learning, and using ML tools like Pytorch and TensorFlow.

• Solid system development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems.

Preferred Qualifications:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical

• OR Computer Engineering,

• OR related field AND related experience (e.g., statistics, predictive analytics, research)

• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical

• OR Computer Engineering,

• OR related field AND related experience (e.g., statistics, predictive analytics, research)

• OR equivalent experience.

• Experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).

• Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.

• Experience conducting research as part of a research program (in academic or industry settings).

• Experience developing and deploying live production systems, as part of a product team.

• Experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

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Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .