Microsoft AI (MAI) organization is looking to build AI Insights, a Copilot analytics product that enables internal stakeholders to move from understanding "What happened?" to "Why did it happen?" in minutes by designing and implementing AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations.
Requirements
- coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
- Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.
Responsibilities
- Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
- Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.
- Develop secure, compliant workflows for handling production logs and conversation data.
- Enable drill-down capabilities linking quantitative metrics to qualitative evidence for actionable context.
- Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
- Prototype and productionize ML models for anomaly detection and predictive insights.
- Independently write efficient, readable, extensible code and model pipelines.
Other
- Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
- Collaborate with PMs and DS to refine hypotheses and deliver intuitive, high-performance interfaces.
- Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
- Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
- Demonstrated interest in Responsible AI.
