Senior Applied Scientist

Microsoft • Redmond, WA

1d

About The Position

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 Senior 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.

Requirements

• Bachelor'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 Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

• Master'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 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.
• 3+ years 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.
• Solid proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and cloud platforms (e.g., Azure).
• Experience with foundation models, prompt engineering, and generative AI.
• Proven track record of delivering production-grade ML solutions.
• 3+ years experience conducting research as part of a research program (in academic or industry settings).
• 1+ year(s) experience developing and deploying live production systems, as part of a product team.
• 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level