Senior Applied Scientist

Job Summary: Microsoft is innovating rapidly in the advertising space to grow its share of this market by providing the ad industry with the state-of-the-art online advertising platform and service. The Senior Applied Scientist will design and implement machine learning models and algorithms that enhance ad relevance and optimize user experiences across Microsoft Ads and Copilot. Responsibilities: • Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot. • Design scalable algorithms for online and offline systems, delivering innovative solutions for content selection, user engagement modeling, and ad generation. • Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions. • Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications. • Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms. Qualifications: Required: • Bachelors 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 Masters 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. • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred: • Masters 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 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. • Proven experience in programming and data analysis skills. • 2+ years of experience in developing and deploying large-scale machine learning models. • Proven expertise in the areas of Generative AI, deep learning, or transformers. • 2+ years of experience in reinforcement learning and contextual bandits. Company: Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Founded in 1975, the company is headquartered in Redmond, USA, with a team of 10001+ employees. The company is currently Late Stage.