Applied Scientist 2(Ads)

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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, Large Language Model 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.

Bachelor, Master, PhD degree in CS/EE or related areas with at least 3-year working experience.
Good design and problem-solving skills to handle challenging tasks independently.
Excellent self-learning ability to try new ideas from textbooks or research papers and apply them to real business scenario of the assigned tasks.
Self-motivated with strong passion on machine learning and related tasks.
Experiences on search ads recall, relevance & ranking system, LLM is a good plus.

A good candidate will play a key role in driving algorithmic and modeling improvement to the system, analyze performance and identify opportunities based on offline and online testing, develop and deliver robust and scalable solutions, make direct impact to both user and advertisers experience, and continually increase the revenue for Bing ads. The candidate should also have good communication, collaboration, and analytical skills.