The Microsoft AI – Bing Places Data team is looking for a Software Engineer II to enhance the use of Location, Places, and POI data for Copilot and Bing Search experiences. This role involves working with large-scale data analytics, machine learning, and AI to create rich content from global location entities. The team emphasizes collaboration, innovation, and a growth mindset to empower users and improve customer experiences. Candidates should be passionate about technology and eager to learn and share their knowledge.

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python.
• Ability to meet Microsoft, customer and/or government security screening requirements.
• Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python is preferred.
• 2+ years of hands-on software design and coding experience is preferred.
• Experience in AI/ML frameworks such as PyTorch or TensorFlow is preferred.

• Collaborate with product managers and technical leads to clarify user requirements.
• Contribute to solution architecture and create design documents.
• Implement maintainable and extensible code while participating in code reviews.
• Develop and refine test plans and ensure robust test coverage for backend services.
• Integrate telemetry and improve tools and processes to maintain compliance with reliability and accessibility standards.
• Work with stakeholders to determine user requirements for features.
• Contribute to breaking down larger work items into smaller tasks and provide estimations.
• Stay current with developments that improve product availability and performance.

• 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.