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Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month? Does the opportunity to join a fast-paced, high-visibility, diverse team in a highly competitive market sound exciting to you? If so, this Principal Applied Scientist role with the Microsoft Turing team may be a great fit for you! The Microsoft Turing team is an innovative research and engineering team working on state-of-the-art deep learning models to power end user experiences across the company. Senior Applied Scientists and software engineers in the Turing team work together to push the boundaries of large-scale deep learning models on Turing’s world class distributed training infrastructure. The team is pioneering search, and the core copilot experiences across Microsoft’s ecosystem. In addition to ensuring that Microsoft is pushing the state-of-the-art large-scale models, the Turing team also works on improving experiences across Microsoft’s products and services by working on high value scenarios. The Turing team has shipped capabilities across all of many Microsoft scenarios including M365 Copilots, Bing Chat, semantic search for enterprise and knowledge management, quick reply on Outlook, Smart Compose features in Word, image enhancement models, image search models, as well as many other features across Office, Bing, and Xbox. Most recently, the Turing team launched Analyst Agent in M365 Copilot—one of the first reasoning-powered agents of its kind. If you share our passion for building innovative products and utilizing the power of machine learning in large-scale real-world situations for the benefit of our customers, we would love to consider your application.
Job Responsibility:
Develop proficiency in one or more specialized sub‑areas while building broad knowledge across a wider research domain
Apply relevant research methodologies, deepen understanding of key services, platforms, or domains, and identify product opportunities by tracking industry trends and emerging applied technologies
Review business requirements and incorporate research to meet business goals
Provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact
Participate in onboarding of team members and assist in developing academics to be members of multidiscipline teams
Identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline
Document work in progress and experimentation results and share findings to promote innovation
Use deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection
Requirements:
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
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Nice to have:
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
OR equivalent experience
3+ years experience conducting research as part of a research program (in academic or industry settings)
Proficient ability and effectiveness working end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation)
3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers), at conferences like ACL, EMNLP, SIGKDD, AAAI, WSDM, COLING, WWW, NIPS, ICASSP, etc
3+ years' experience in applying deep learning techniques and drive end-to-end AI product development (Search, Recommendation, NLP, Document Understanding, etc), and communicating technical details clearly across organizational boundaries