The Senior Software Engineer will join the Entity Data team at Microsoft AI Search, focusing on developing AI-powered systems that extract and understand real-world entities from large-scale content. This role involves applying machine learning and LLM techniques to enhance entity intelligence and improve the quality of information extraction. The ideal candidate will work on challenging problems related to entity resolution and knowledge acquisition from diverse data sources. Collaboration with applied scientists and product teams is essential to bring AI capabilities into production.

• Bachelor's Degree in Computer Science or related technical field AND 4+ years of technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python, OR equivalent experience.
• Ability to meet Microsoft, customer and/or government security screening requirements.

• Design and develop systems for entity extraction, enrichment, and understanding from diverse content sources.
• Apply machine learning and LLM-based approaches to identify, classify, and enrich entities and their attributes.
• Build solutions for entity resolution, disambiguation, and linking across multiple data sources.
• Improve entity quality through precision/recall analysis, evaluation frameworks, and data-driven experimentation.
• Develop scalable workflows for processing large volumes of structured and unstructured content.
• Collaborate with applied scientists, data scientists, and product teams to bring AI-powered entity capabilities into production.
• Drive technical design, implementation, testing, and operational excellence for entity intelligence systems.
• Mentor engineers and contribute to technical leadership across the team.

• 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.