| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: Redmond, WA
Salary: $139,900–$274,800 / yr
Posted: 56 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k

This role $207k

$101k most similar roles pay here $293k

This role pays more than 76% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $207k versus about $181k for comparable roles.

Based on 238 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

Most-posted roles

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At a glance

TL;DR · | Microsoft Careers

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As a Machine Learning Engineering Manager in the Microsoft AI organization, you will lead a team of engineers developing AI Insights, a cutting-edge Copilot analytics product. Your daily responsibilities include mentoring your team to build AI-powered analytics for Copilot usage and quality metrics, owning technical strategies for trend detection and cohort analysis, and ensuring compliance and security across data handling processes. You will collaborate closely with PMs, data scientists, and UX designers to define the roadmap and deliver high-impact workflows while driving integration with Azure Data Bricks and other Microsoft internal systems. The ideal candidate has hands-on experience in ML systems, anomaly detection, large-scale data processing, and is proficient in Python or Java. This role requires solid communication skills and a strong background in leading product development leveraging data pipelines and machine learning frameworks.

Skills

Python Java Azure Data Bricks MLOps Anomaly Detection Large-Scale Data Processing CI/CD Kubernetes Docker Prometheus Grafana PostgreSQL Snowflake AWS Google Cloud Platform Azure Terraform Git Jenkins GitHub Confluence Jira

What you'll do

Lead a team of engineers to build AI-powered analytics for Copilot usage and quality metrics.
Develop technical strategies for trend detection, cohort analysis, and drill-down workflows in quantitative metrics.
Prototype and deploy ML models for anomaly detection and predictive insights.
Ensure data compliance and security across telemetry, logs, and conversation datasets.
Integrate with Azure Data Bricks and other Microsoft internal systems to ensure reliability and scalability.

What we're looking for

Proven experience leading small engineering and ML teams.
Strong hands-on skills in machine learning, data platforms, and distributed systems.
Expertise in developing and generalizing repeatable ML solutions.
Solid experience with anomaly detection and large-scale data processing.
Ability to ensure compliance and security for handling sensitive data.

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