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Microsoft 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. Bing Ads algorithm team is at the core of this effort, working on the following research & development: Selection(recall), Relevance, User Response Prediction (Click Prediction and Conversion prediction), Autobidding, Advanced AI technology and Large Scale Machine Learning & Serving System. The team is 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.
Job Responsibility:
Bridge research and production to bring state-of-the-art AI solutions into Bing Ads, translating long-term innovation into scalable product improvements
Drive end-to-end enhancements across data preparation, feature development, solution deployment, and performance monitoring to improve ad relevance and system efficiency
Analyze performance rigorously using offline and online testing methodologies, validating assumptions and identifying optimization opportunities
Deliver robust, scalable solutions by applying advanced AI techniques and production-grade data processes to improve quality, efficiency, and reliability
Create direct impact for users and advertisers by improving ranking, targeting, and auction outcomes, while documenting insights and decisions to accelerate innovation
Increase Bing Ads revenue responsibly through measurable system and solution improvements, adhering to ethics and privacy policies throughout data handling and deployment
Collaborate and communicate effectively across research, engineering, and product teams
contribute to knowledge transfer, innovation initiatives
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)
OR equivalent experience
Good design and problem-solving skills
Ability to learn new techniques from textbooks or research papers and apply them to the business problem at hand
Experiences on ads or recommendation system recall and ranking is a good addition
Nice to have:
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 3+ years related experience (e.g., statistics, predictive analytics, research)