Are you interested in being part of a team with close to $20B in revenue and rapid growth? Are you looking for joining a fun and fast paced environment, where people are empowered to innovate? Are you excited about cutting-edge LLM/LMM innovation and applications?

　　Microsoft Advertising is now the 4th largest Ad network in the world with Search and Open-Web programmatic (MSAN, Xandr) as core pillars. Our team provides efficient recommendations to help our customers to achieve their goals. The team is a world-class R&D team of passionate and talented scientists and engineers who aspire to solve challenging problems using advanced ML technologies on top of big data.

　　We are looking for a Principal Applied Scientist with background in Machine Learning, Reinforcement Learning, Causal Inference, Large Language models, Natural Language Processing (NLP), Natural Language Generation (NLG) techniques, Control Theory, Data Science, Data Mining, or related fields. Candidates should be passionate about artificial intelligence and optimization at web scale. They will play a key role in driving algorithmic improvements to online and offline systems, develop and deliver robust and scalable solutions, make direct impact to both user and advertisers experience, and continually increase the revenue for Microsoft Advertising.

　　Responsibilities

　　A successful 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 excellent communication, collaboration and analytical skills. More specifically:

　　• Design and develop deep learning models for ad creative generation, keyword expansion, keyword categorization, audience targeting, traffic estimation, brand detection, auto labeling and etc.

　　• Design and oversee large-scale, long-term experiments to improve the health of the demand using advanced statistics and machine learning

　　• Work closely with various teams to understand common needs and build technical roadmap for addressing them.

　　Qualifications

　　Design and develop deep learning models for ad creative generation, keyword expansion, keyword categorization, audience targeting, traffic estimation, brand detection, auto labeling and etc.

　　Design and oversee large-scale, long-term experiments to improve the health of the demand using advanced statistics and machine learning

　　Work closely with various teams to understand common needs and build technical roadmap for addressing them.

　　M.S. or PhD degree in CS/EE or related field AND 6+ years related experience.

　　#WWE

　　Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .