About the role

Aplyr's Quick Take

This role is for a Machine Learning Engineering Manager who will lead a team focused on developing AI-driven analytics for Microsoft's Copilot product. Day-to-day, you'll mentor engineers, oversee technical strategies, and collaborate with various teams to create effective data-driven solutions.

Good fit

Ideal candidates have significant experience in machine learning and engineering management, with a strong background in data platforms and distributed systems. A collaborative mindset and the ability to thrive in a fast-paced environment are essential.

Worth noting

The position requires a return to the office at least four days a week starting in 2026, which could be a dealbreaker for remote work enthusiasts. The salary range is quite broad, indicating potential variability based on experience.

Overview

As a Machine Learning Engineering Manager, you will work on developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization. We’re looking for a experienced Engineering Manager with solid hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. We’re looking for someone with experience leading product development leveraging data pipelines, data science, and machine learning, as well as a solid communicator and great teammate. 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

Lead and mentor a team of engineers building AI-powered analytics for Copilot usage and quality metrics.
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.
Drive integration with existing platforms (Azure Data Bricks and other Microsoft internal systems) and ensure reliability scalability, and cost efficiency.
Hav solid experience in ML systems, anomaly detection, and large-scale data processing.
Generalize machine learning (ML) solutions into repeatable frameworks.
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.
Be hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.

Qualifications

Required Qualifications:

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.

Preferred Qualifications:

Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor's Degree in Computer Science or related technical field AND 12+ 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.
Experience writing production-quality Python or Java code
Demonstrated interest in Responsible AI.

#MicrosoftAI

Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Skills & Tags

machine learning ai

Aplyr's read

Microsoft is a technology giant shaping global computing, attracting talent interested in innovation and impact across software, cloud, and AI sectors.
Synthesized from recent postings & public sources

What's promising

•Strong commitment to innovation in AI and cloud computing.
•Diverse range of roles from technical to managerial, offering career growth.
•Financially stable with a robust global presence and market influence.

What to watch

•Complex organizational structure can slow decision-making processes.
•High competition for roles may limit entry-level opportunities.
•Potential for work-life balance challenges in high-demand positions.

Why Microsoft

•Pioneer in personal and business computing with a legacy of innovation.
•Extensive global reach with a diverse workforce and inclusive culture.
•Leader in integrating AI into mainstream software and cloud services.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Microsoft

Microsoft

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Microsoft is a global technology company that develops, licenses, and supports a wide range of software products, services, and devices. Known for its Windows operating system and Office productivity suite, Microsoft has a significant impact on personal and business computing worldwide.