Senior Applied Scientist - Ads Ranking & Retrieval
Microsoft· Applied Sciences
BangaloreFull-timePosted 2mo ago
About the role
Senior Applied Scientist at Microsoft Ads focusing on advancing research and production systems across ad retrieval, matching, ranking, and generation. Leverages ML/AI, including LLMs/SLMs/LRMs, to improve ads discovery, matching, ranking, and generation at web scale, with emphasis on shipping measurable impact.
Responsibilities
- Advance research and development across retrieval, ranking, matching, and generative models.
- Leverage and improve SLMs/LLMs/LRMs; train, fine-tune, and productionize models.
- 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 and keep solutions state-of-the-art.
- Collaborate with research and engineering teams.
Qualifications
- Bachelor'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 Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience. OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience. OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements including Microsoft Cloud Background Check.
Skills
Required:Statistics, Econometrics, or related quantitative fieldMachine learningLLMs / SLMs / LRMs
Last updated Aug 20, 2026. Interested? Apply on the company site.
About Microsoft
Cloud ComputingConsumer ElectronicsSoftwareTechnologyliquid-ai-recruiting-target
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