Applied Scientist II

Microsoft

HybridPosted July 25, 2026

About the role

Applied Scientist II at Microsoft is responsible for advancing machine learning and large language model technologies to improve user engagement in Bing Search. This role focuses on applying LLMs to improve search relevance and automate training data generation, building state-of-the-art large-scale neural ranking models and feature processing frameworks, leveraging reinforcement learning and user feedback signals to optimize long-term engagement, and developing scalable ML systems that power millions of search experiences every day. This is a hybrid role with potential office locations in Redmond, Washington and Sunnyvale, California.

Applied Scientist II

Microsoft

HybridPosted July 25, 2026

About the role

Applied Scientist II at Microsoft is responsible for advancing machine learning and large language model technologies to improve user engagement in Bing Search. This role focuses on applying LLMs to improve search relevance and automate training data generation, building state-of-the-art large-scale neural ranking models and feature processing frameworks, leveraging reinforcement learning and user feedback signals to optimize long-term engagement, and developing scalable ML systems that power millions of search experiences every day. This is a hybrid role with potential office locations in Redmond, Washington and Sunnyvale, California.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. Microsoft fosters a culture of inclusion where respect, integrity, and accountability help everyone thrive at work and beyond.

Responsibilities - Apply LLMs to improve search relevance and automate training data generation - Build large-scale neural ranking models and feature processing frameworks - Leverage reinforcement learning and user feedback signals to optimize long-term engagement - Develop scalable ML systems powering millions of search experiences daily

Qualifications - Required: Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field with 2+ years of related experience; or Master's with 1+ year; or Doctorate; or equivalent experience - Preferred: Advanced degree with 5+ years of related experience; or 3+ years with a Master's; or 1+ year with a Doctorate; plus solid

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