Overview:

Microsoft Teams is the hub for teamwork that brings together people, content, and tools to drive productivity and engagement. As part of Microsoft’s modern work, life, and education vision, Teams is transforming how people communicate and collaborate globally.

We are seeking a Principal Applied Scientist to join the Enterprise Voice Calling team within the Teams Calling, Meeting & Devices group. This role is ideal for someone passionate about building intelligent, scalable, and secure voice communication experiences powered by cutting-edge AI.

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- Collaborate with cross-functional teams including product managers, engineers, and researchers to design and deliver next-generation voice calling experiences.
• Apply and fine-tune large foundation models to enhance real-time voice communication, transcription, and summarization.
• Lead prompt engineering efforts to optimize generative AI capabilities for enterprise-grade calling scenarios.
• Drive innovation for Microsoft Copilot and other AI-powered features within Teams Calling.
• Analyze user behavior and system performance to identify opportunities for improvement and personalization.
• Contribute to the development of scalable machine learning pipelines and experimentation frameworks.
• Mentor junior scientists and engineers, fostering a culture of technical excellence and growth.

Qualifications:

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years 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 4+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.
• 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 5+ years experience conducting research as part of a research program (in academic or industry settings).
• 3+ years experience developing and deploying live production systems, as part of a product team.
• 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• 5+ years of experience in applied machine learning or AI, preferably in voice or communication technologies.
• Strong proficiency in Python, deep learning frameworks (e.g., Py Torch, Tensor Flow), and cloud platforms (e.g., Azure).
• Experience with foundation models, prompt engineering, and generative AI.
• Proven track record of delivering production-grade ML solutions.
• Experience in real-time voice processing, speech recognition, or NLP.
• Familiarity with enterprise communication systems and security requirements.
• Solid collaboration and communication skills across discipline.

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.