Member Of Technical Staff – Software Engineer & Machine Learning (AI)

TL;DR

Member Of Technical Staff – Software Engineer & Machine Learning (AI): Building AI Insights, a Copilot analytics product, enabling stakeholders to move from “What happened?” to “Why did it happen?” with an accent on AI-driven trend detection, cohort analysis, and drill-down workflows. Focus on developing AI-based insights on large-scale multi-modal Copilot data within hirify.global (MAI) organization.

Location: 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.

Salary: USD $119,800 – $234,700 per year (USD $158,400 – $258,000 per year in the San Francisco Bay area and New York City metropolitan area)

Company

Microsoft’s mission is to empower every person and every organization on the planet to achieve more.

What you will do

• Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
• Implement ML-driven insights 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.
• Prototype and productionize ML models for anomaly detection and predictive insights.

Requirements

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python.
• Experience leading small engineering and machine learning teams.
• Demonstrated interest in Responsible AI.

Culture & Benefits

• Growth mindset.
• Innovate to empower others.
• Collaborate to realize shared goals.
• Values of respect, integrity, and accountability.
• Create a culture of inclusion where everyone can thrive at work and beyond.