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AI has created an unprecedented opportunity to make work better for hundreds of millions of people. Microsoft Teams is the hub for teamwork that integrates the people, content, and tools your team needs to be more engaged and effective. It is at the core of Microsoft’s modern work, life, and education value proposition. We are reinventing the way people communicate and work together across the globe. Our newly formed Applied Science organization is hiring a Principal Applied Scientist to help ensure we maximize this amazing opportunity. We are looking for a Principal Applied Scientist who is creative, self-driven, curious, people-oriented, and comfortable defining a path through ambiguity toward high-level goals. Research areas of interest include but are certainly not limited to reinforcement learning, agentic systems multimodal modeling, post-training techniques and their application, human-centered artificial intelligence (AI), domain-specific large language model (LLM) applications (e.g. long-form writing assistance), personalization, computational social science, memory, agentic retrieval-augmented generation (RAG), real-time AI systems, collaborative AI, privacy-preserving AI, trustworthy AI, data-centric AI, AI flywheels, and multilingual AI.
Job Responsibility:
Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products
Shape product direction by integrating rigorous scientific methods into the product lifecycle
Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders
Serving as a bridge between research and product
Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices
Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven
Communicating with product leaders (and often Microsoft researchers – MSR) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts
Embody the Microsoft culture and values
Requirements:
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ 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 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 5+ years related experience (e.g., statistics, predictive analytics, research)
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience
3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker
7+ years experience conducting research as part of a research program (in academic or industry settings)
5+ years experience developing and deploying live production systems, as part of a product team
7+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping
Demonstrated impact from your research through shipped products, improved user experiences, or other measurable benefits for diverse stakeholders
Demonstrated interest for continuous learning and innovation in AI
Demonstrated technical leadership or mentor experience (influencing technical direction, guiding team members)