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In Feeds and AI team, we’re building Microsoft Start, a content powerhouse for every person on the planet to be informed, entertained, and inspired. Microsoft Start is the place for all to read, watch, listen, create, connect with people of shared interests, and experience wonders in the world. We are looking for a skilled and experienced Principal Applied Scientist to join our ranking foundation team. As a Principal Applied Scientist focusing on recommender systems, you will play an important role in contributing to the development and optimization of our online services and offline pipelines within our content ecosystem to achieve product and business growth goals.
Job Responsibility:
Algorithm Development and Enhancement for ranking algorithms in News & Feeds
Work with cross-functional teams to design, develop, and implement recommendation algorithms to deliver product features and drive user engagement
Optimize existing recommendation algorithms by analyzing performance metrics and user feedback, incorporating advanced machine learning techniques including generative AI techniques
Innovation in the area of advanced AI solution, and recommender system
Perform data analysis to identify patterns, trends, and opportunities to improve the relevance and quality of our recommendation systems
Build systemic solutions and models to optimize user experience
Requirements:
Bachelor'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 Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
OR equivalent experience
Minimum of 3 years of professional experience in recommender systems, search engines, or online advertising
Strong expertise in machine learning algorithms, generative AI and statistics, and data mining techniques applied to personalization
Proven problem-solving abilities and a track record of thriving in fast-paced, collaborative environments
Excellent communication and teamwork skills, with the ability to clearly articulate complex technical concepts to a variety of audiences
Proficient in Python programming
Additional experience in languages such as C# or C++ considered a plus
Nice to have:
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
OR equivalent experience
Additional experience in languages such as C# or C++ considered a plus