Overview
Do you come from applied science, data science, machine learning, quantitative analysis, or another analytical field, and want to use AI to change how large-scale infrastructure is run? Our team in Microsoft 365 builds the intelligence behind capacity for the infrastructure that powers Microsoft 365 and Copilot. We forecast demand at massive scale and build AI-driven automation that manages infrastructure at runtime, moving operations from manual processes to systems that observe, reason, and act on their own. Copilot’s growth makes this some of the most fast-moving and consequential work in the company, and we are looking for curious, hands-on people who want to help build it. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
As an applied scientist on this team, you’ll help set technical direction and build AI systems that run in production across the infrastructure behind Microsoft 365 and Copilot. You’ll work with large-scale operational data, current AI models, and engineers who know this infrastructure deeply, on problems that affect billions of users.
You will:
- Build AI-driven automation, including agentic systems, that manages infrastructure capacity and health at runtime.
- Develop models that detect anomalies and emerging issues in large-scale telemetry, often before they affect customers.
- Build systems that perform automated root-cause analysis, reasoning across signals, logs, and dependencies to pinpoint why something went wrong.
- Design automated mitigation that closes the loop from detection to resolution, reducing reliance on manual intervention.
- Develop and scale forecasting models and pipelines that predict capacity needs across Microsoft 365 and Copilot.
- Design machine learning and mathematical optimization models that improve the efficiency, reliability, and performance of our services.
- Take ideas from prototype to production, turning research into durable systems the business depends on.
- Work with engineering, product, and research teams to set priorities and deliver results.
Qualifications
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a quantitative field in Physics, Chemistry, Biophysics etc. AND 6+ years related experience e.g., statistics, predictive analytics, research
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering or a quantitative field in Physics, Chemistry, Biophysics etc. AND 4+ years related experience e.g., statistics, predictive analytics, research
- OR Doctorate in Statistics, Econometrics, Computer Science,
