Applied Scientist 2

OverviewMicrosoft is innovating rapidly in advertising to grow its share of this market by providing the advertising industry with the state-of-the-art online advertising platform and service. The team is at the forefront of innovation by leveraging AIGC and LLM to create delight experience to users including image and video optimization and generation. We are a world-class R&D team of passionate and talented scientists and engineers who aspire to solve challenging problems and turn innovative ideas into high-quality products and services that can help hundreds of millions of users and advertisers, and directly impact our business.ResponsibilitiesBridges research and product development by applying cutting-edge techniques to solve real-world product challenges with limited guidance. Collaborates across teams and contributes to technology transfer, patents, internal tools, and publications to drive business impact.Maintains professional networks, supports recruitment efforts, and may assist in mentoring interns or junior team members. Documents research processes, experiments, and findings to promote innovation and ensure reproducibility.Applies advanced research strategies and gains deep expertise in areas like machine learning, NLP, computer vision, and statistical modeling to improve product quality. Leverages data-driven approaches to optimize large-scale systems and ensure high performance; conducts AIGC research to enhance ad quality; analyzes offline and online performance to deliver scalable solutions that improve user and advertiser experiences.QualificationsBachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.Minimum 3 years of experience with multi-modal and generative AI models.Proficiency in high-performance programming languages such as C/C++, C#, or Python.Strong problem-solving skills and accountability for delivering results.Clear and proactive communication in cross-functional team settings. Additional Or Preferred QualificationsBachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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. - 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.