Microsoft AI (MAI) is seeking experienced Data Infrastructure Engineers to join their mission of building personal AI and Copilot systems. This role is part of the Data Platform team, responsible for building core data pipelines that help fine-tune models and support introspection of data to improve human-AI interactions. The position requires working from either New York City or Redmond office 3 days a week.
The ideal candidate will possess technical prowess in distributed systems, data operations, and ML operations, with extensive experience in managing high-volume, low-latency data systems. You'll be working on mission-critical applications and platform components that power Microsoft's AI initiatives, collaborating with cross-functional teams including Data Scientists, Engineers, and AI Researchers.
The role offers competitive compensation ranging from $137,600 to $267,000 per year (higher in NYC and SF Bay Area), along with comprehensive benefits including healthcare, educational resources, and parental leave. This is an excellent opportunity for experienced engineers who want to work at the forefront of AI technology while contributing to Microsoft's mission of empowering every person and organization on the planet to achieve more.
You'll be part of a team that values positive energy, empathy, and kindness, while working on some of the most interesting and challenging AI questions of our time. The position requires strong technical skills, experience with cloud infrastructure, and the ability to work effectively in a fast-paced environment while maintaining high standards for code quality and system reliability.