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Principal Applied Scientist - Ads Ranking & Retrieval

Advance research and development across retrieval, ranking, matching, and generative models. Leverage and improve SLMs/LLMs:/LRMs train, fine-tune, and align models and productionize them. Evolve the Ads ranking platform toward be...

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Microsoft Bengaluru, KA,IN, IN Source published Aug 17, 2026 Verified 6 hours ago
✓ 95% verification score · Source: Microsoft Careers · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
Principal Applied Scientist - Ads Ranking & Retrieval opportunity at Microsoft
DeadlineSat Feb 13 4:38 AM 2027
EmploymentF U L L T I M E
CountryIN

Overview

Advance research and development across retrieval, ranking, matching, and generative models. Leverage and improve SLMs/LLMs:/LRMs train, fine-tune, and align models and productionize them. Evolve the Ads ranking platform toward better usability, reliability, scalability, efficiency, and architectural coherence. Provide technical leadership on projects: set direction, coach a distributed team, and influence cross-org strategy. Follow research trends in AI to guide the group keep solutions state-of-the-art. - Collaborate with research and engineering teams. 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 rela

Full job description

Full Job Description

Advance research and development across retrieval, ranking, matching, and generative models. Leverage and improve SLMs/LLMs:/LRMs train, fine-tune, and align models and productionize them. Evolve the Ads ranking platform toward better usability, reliability, scalability, efficiency, and architectural coherence. Provide technical leadership on projects: set direction, coach a distributed team, and influence cross-org strategy. Follow research trends in AI to guide the group keep solutions state-of-the-art. - Collaborate with research and engineering teams. 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 (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research). These requirements include but are not limited to the following specialized security screenings: Master'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 Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research). OR equivalent experience. Expertise in training and inference optimization. Experience designing and scaling recommendation systems with massive query/item spaces and multi-stage ranking pipelines.

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