Principal Applied Scientist

The Advanced Reasoning Group is hiring a Principal Applied Scientist at Mountain View, CA, or Redmond, WA.

The team is responsible for creating and delivering cutting-edge reasoning technologies that drive business outcomes for Microsoft and its customers built on our partnerships across the org. We are looking for a Principal Applied Scientist to deliver a state-of-the-art shopping knowledge graph to power amazing shopping experiences.

In this role you will have the opportunity to solve modeling problems around shopping knowledge graph. You’ll leverage multimodal techniques, facets, LLM-based generative methods and agentic process to curate and improve the shopping graph, to uplevel the shopping catalog.

You will  need to ensure the approach is scalable, so optimization techniques such as SLM investment is needed. You’ll also have opportunity to build innovative shopping experiences using the rich catalog and agentic systems, e.g. build a deep research shopping agent, a catalog agent, and related ecosystems.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Participate in design, implementation, and execution across a variety of features regarding data science, machine learning and knowledge graph.
• Drive innovations in LLM reasoning, analytics applications, retrieval, ranking and generic Natural Language Processing (NLP), Computer Vision (CV) models used in an ads recommender systems.
• Embody our Culture & Values.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• 1+ year LLM Generative AI experience with chatbot, reasoning, or similar technologies.
• 4+ years of experience working with Machine Learning technologies (e.g. Natural Language Processing, Computer Vision, Knowledge Graph)
• OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.

Preferred Qualifications:

• Master's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
• Experience in knowledge graph building and entity linking.
• 1+ year of experience developing end to end analytics solutions or ML systems for real world applications.
• Have publications at peer-reviewed Data Science/AI conferences (e.g. KDD-Knowledge Discovery and Data Mining, CIKM- Conference on Information and Knowledge Management, SIGIR- Special Interest Group on Information Retrieval, NeurIPS- Neural Information Processing Systems, CVPR- Computer Vision and Pattern Recognition, ICML International Conference on Machine Learning, ICLR- International Conference on Learning Representations, ICCV- International Conference on Computer Vision, and ACL- Association for Computational Linguistics).
• OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until October 6, 2025.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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