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Join the team that powers the most widely used operating system in the world. Windows is evolving into a secure, agent-first platform, and the Windows AI Platform team is at the forefront of this transformation. The team's mission is to lay the foundation for an agent-first Windows experience, driving innovation and reliability for users worldwide. The Windows Developer Platform team is responsible for creating the foundational capabilities that allow developers to build rich and modern applications for Windows. The team’s work has a profound impact, influencing the daily computing experience of more than a billion users around the globe. This role offers the unique opportunity to shape next-generation platform capabilities, collaborate across engineering teams, and contribute significantly to the ongoing evolution of the Windows app platform.
Job Responsibility:
Master one or more subareas and gain expertise in a broad area of research, including applicable research techniques
Gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and 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 junior 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 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)
Strong customer focus and passion for doing the right thing for the customer
Proven ability to establish trusted, effective relationships across diverse sets of stakeholders
Excellent communication skills and cross group collaboration
Ability to keep pace with rapid innovations in the field and to be creative to solve problems with no past techniques
Experience in developing / working with highly scalable classifiers, ranking algorithms, SLMs, LLMs, Finetuning with RLHF, etc. will be a plus
Nice to have:
Master’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience
3+ years of working in an AI research facility or working with software services / experiences infused with AI