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Principal Applied Scientist

Microsoft· Applied Sciences
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BangaloreFull-timePosted 1mo ago

About the role

Lead scientific innovation for enterprise retrieval, grounding, evaluation, and agent-ready knowledge systems to power next-generation Microsoft AI experiences within the Copilot Connectors ecosystem.

Responsibilities

  • Drive innovation in enterprise retrieval,, ranking, grounding, and knowledge representation and autonomous workflows for AI agents and next-generation Microsoft AI experiences.
  • Advance retrieval quality science through SEVALs, evaluation frameworks, and metrics for Recall@K, grounding quality, citation correctness, freshness, coverage, and task success.
  • Develop techniques for multi-hop retrieval, cross-source reasoning, semantic enrichment, knowledge graphs, and agent memory.
  • Build trust-aware AI systems that respect enterprise permissions, provenance, and authorization.
  • Pioneer autonomous knowledge acquisition, including relationship discovery, metadata inference, summarization, and knowledge graph generation.
  • Partner with engineering and product teams to bring scientific innovations into production at hyperscale.

Qualifications

  • 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). OR equivalent experience.
  • Proven track record of translating research into large-scale production systems.

Skills

Required:StatisticsEconometricsMachine Learning
Last updated Sep 17, 2026. Interested? Apply on the company site.

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