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Principal Data Engineer, Copilot Memory and Personalization

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Microsoft Corporation

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Location:
United States , Mountain View

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Contract Type:
Not provided

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Salary:

139900.00 - 274800.00 USD / Year

Job Description:

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits. Microsoft AI (MAI) Copilot team is seeking experienced Data Engineer to help build the foundations of Copilot memory and personalization — AI that remembers, evolves, and grows with each user. You will work in a highly collaborative, fast-paced environment to solve complex data challenges underlying personalization, designing systems that reliably capture, refine, and serve user signals across interactions. Your work will deepen memory with every interaction, personalize experiences around individual goals and preferences, and make Copilot feel like a trusted partner rather than a static tool.

Job Responsibility:

  • Design and evolve large-scale data architectures that support Copilot memory and personalization, spanning batch, streaming, and serving paths
  • Build and operate high-quality personalization and memory data pipelines, including signal ingestion, normalization, enrichment, aggregation, memory generation, and full lifecycle management
  • Enable memory and personalization features by exposing well-designed datasets, APIs, and feature interfaces for downstream product and ML consumers
  • Work closely with PMs, applied ML, and product engineering to translate product intent into robust data systems and measurable outcomes
  • Act as a technical leader for memory and personalization data systems, influencing architecture and standards across multiple teams
  • Lead design reviews, unblock complex technical problems, and make principled trade-offs in ambiguous spaces

Requirements:

  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Bachelor's Degree in Computer Science OR related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python OR Master's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity
  • Experience building and deploying machine learning or large language model (LLM) applications at scale
  • Experience designing and implementing large-scale embedding, retrieval, and ranking systems

Additional Information:

Job Posted:
February 17, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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