This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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