As a Member of Technical Staff – Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from “What happened?” to “Why did it happen?” in minutes. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations, developing AI-based insights on large-scale multi-modal Copilot data part of the Microsoft AI (MAI) organization.
We’re looking for an experienced Machine Learning engineer with strong hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.
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.
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. This expectation is subject to local law and may vary by jurisdiction.
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.
- Collaborate with PMs and DS to refine hypotheses and deliver intuitive, high-performance interfaces.
- 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.
- Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.
- Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
- Independently write efficient, readable, extensible code and model pipelines.
- 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.
Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.
Qualifications:
- Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- 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.
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