Microsoft logo
Machine Learning Engineering Manager - AI Insights
full-timeRedmond, New York, Mountain View$139k - $274k

Summary

Location

Redmond, New York, Mountain View

Salary

$139k - $274k

Type

full-time

Explore Jobs

About this role

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.

Other facts

Tech stack
Machine Learning,Data Platforms,Distributed Systems,Data Pipelines,Data Science,Anomaly Detection,Predictive Insights,Technical Strategy,Collaboration,Customer Focus,Observability,Model Evaluation,C,C++,C#,Python

About Microsoft

Microsoft is a leading technology company that develops, licenses, and supports a wide range of software products, services, and devices. It is known for its software products like Windows, Office, and Azure, as well as its hardware products such as Surface devices and Xbox gaming consoles.

Team size: Over 100
LinkedIn: Visit
Industry: Technology

What you'll do

  • Lead and mentor a team of engineers to build AI-powered analytics for Copilot usage and quality metrics. Own the technical strategy for trend detection and ensure compliance and security for data handling.

Our culture

  • Diversity and inclusivity
  • Accountability
  • Continuous learning
  • Teamwork
  • Transparency
  • Trust

Ready to join Microsoft?

Take the next step in your career journey

Frequently Asked Questions

What does Microsoft pay for a Machine Learning Engineering Manager - AI Insights?

Microsoft offers a competitive compensation package for the Machine Learning Engineering Manager - AI Insights role. The salary range is USD 140k - 275k per year. Apply through Clera to learn more about the full compensation details.

What does a Machine Learning Engineering Manager - AI Insights do at Microsoft?

As a Machine Learning Engineering Manager - AI Insights at Microsoft, you will: lead and mentor a team of engineers to build AI-powered analytics for Copilot usage and quality metrics. Own the technical strategy for trend detection and ensure compliance and security for data handling..

Why join Microsoft as a Machine Learning Engineering Manager - AI Insights?

Microsoft is a leading Technology company. Their culture emphasizes Diversity and inclusivity and Accountability. The Machine Learning Engineering Manager - AI Insights role offers competitive compensation.

Is the Machine Learning Engineering Manager - AI Insights position at Microsoft remote?

The Machine Learning Engineering Manager - AI Insights position at Microsoft is based in Redmond, Washington, United States and New York, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Machine Learning Engineering Manager - AI Insights position at Microsoft?

You can apply for the Machine Learning Engineering Manager - AI Insights position at Microsoft directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Microsoft on their website.