Overview
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.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
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.
Qualifications
Required Qualification
Bachelors 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.
Preferred Qualifications
Bachelors 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 Masters 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.
Thriving in a fast-paced, collaborative environment and being 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.
Software Engineering IC5
The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Software Engineering IC6
The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.