Microsoft · 6 days ago
Principal Applied Scientist - Teams Calling, Meeting & Devices Group
Microsoft is a leading technology company focused on empowering every person and organization on the planet. They are seeking a Principal Applied Scientist for the Microsoft Teams Calling, Meeting & Devices group to collaborate on delivering next generation innovations and experiences leveraging engineering foundation models and generative AI products.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Design, implement, validate, and ship AI-powered features end-to-end for Microsoft Teams across desktop, web, and mobile clients
Collaborate with Program Managers, Designers, and Researchers to define product requirements, timelines, and measurable success criteria
Maintain and improve system performance, reliability, latency, and scalability of AI-powered features in production
Participate in code reviews, debugging, telemetry reviews, and continuous delivery processes
Champion a culture of scientific rigor, ethical AI, and innovation across the team
Communicate scientific findings and technical designs clearly to product and engineering leadership
Drive exploration of hybrid AI experiences (cloud + edge + LLM) for responsiveness, privacy, and enterprise value
Collaborate closely with Microsoft Research, Microsoft AI groups, Microsoft Azure, AI platform teams, and product teams to create the next generation of AI innovation in our products and services
Prompt tuning, fine tuning, and RAG system development
Evaluation, A/B testing, and experimentation
Embody our culture and values
Qualification
Required
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
Experience conducting applied science experiments, creating and validating metrics, and working with ML pipeline and modeling algorithms in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning
Experience developing and deploying conversational and language understanding models at scale
Experience with commercial product development and a commitment to improving user experiences
Preferred
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
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
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