The Microsoft AI Copilot team is seeking an experienced Backend Engineer to develop the foundations of Copilot memory and personalization. This role focuses on building systems that enhance user interactions by capturing and refining data signals. The engineer will work in a collaborative environment to address complex data challenges and ensure that Copilot evolves with each user. The position emphasizes the importance of creating a personalized experience that feels like a trusted partner.

• Bachelor's Degree in Computer Science or related technical field AND 6+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Preferred: Bachelor's Degree in Computer Science OR related technical field AND 12+ years of technical engineering experience OR Master's Degree in Computer Science or related technical field AND 15+ years of technical engineering experience.
• 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.

• Design and evolve large-scale data architectures that support Copilot memory and personalization.
• 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.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.