Software Engineer 2

Microsoft's Learning Product Team in Worldwide Learning (WWL) is seeking a Software Engineer 2 to join their Agentic AI Workforce team. This role focuses on developing cutting-edge AI and machine learning solutions that enhance learning platform experiences and business planning operations. The position combines technical expertise in ML/AI with practical application in enterprise scenarios.

The ideal candidate will work on designing and implementing intelligent agents, ML models, and AI systems that power adaptive learning experiences. They will be responsible for building scalable AI pipelines, integrating with enterprise data sources, and ensuring robust performance and security. The role involves working with state-of-the-art technologies including LLMs, reinforcement learning, and agent orchestration.

Key responsibilities include developing and optimizing machine learning models, implementing automated pipelines for data processing and model training, and ensuring AI systems adhere to responsible AI principles. The engineer will also work on knowledge management systems, including RAG pipelines and vector search implementations.

The position offers the opportunity to work with Microsoft's extensive technology stack, including Azure cloud services, and collaborate with cross-functional teams including UX designers, product managers, and other engineers. The role also involves mentoring other team members and contributing to the broader AI community through knowledge sharing and innovation.

Microsoft offers comprehensive benefits including industry-leading healthcare, educational resources, savings and investment options, parental leave, and generous time away. The position supports Microsoft's mission to empower every person and organization on the planet to achieve more, working in an inclusive environment that values growth mindset and innovation.

The base salary range for this role across the U.S. is $100,600 - $199,000 per year, with higher ranges for specific locations like the San Francisco Bay area and New York City metropolitan area. This is an excellent opportunity for someone passionate about AI/ML who wants to make a significant impact on learning and enterprise solutions at a global scale.