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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 Manager 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

• Drive algorithmic improvements for ads retrieval and ranking models online and offline

• Developing and delivering robust and scalable solutions, making direct impacts on advertisers' ROI, and increase advertisers' CVR

• Improve user/context/ads understanding. Apply these techinques to online to get revenue rise and demands ROI rise.

• Leverage LLM into Ads scenario. And it is appreciated to have LLM distillation experience

Qualifications

• M.S. or PhD degree in Computer Science or Mathematics or Statistics or other related areas

• 6+ years related experience at ads or recommendation

• 4+ years hands-on experience with PyTorch or Tensorflow

• Strong knowledge and skills in machine learning software development and architectures for machine learning

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) .