# Machine Learning Engineering Manager – AI Insights

**Company**: Microsoft
**Location**: Mountain View
**Work arrangement**: hybrid
**Experience**: mid
**Job type**: full-time
**Salary**: $139,900 – $274,800 per year
**Category**: Engineering
**Industry**: Technology
**Ticker**: MSFT
**Wikidata**: https://www.wikidata.org/wiki/Q2283

**Apply**: https://microsoft.ai/job/machine-learning-engineering-manager-ai-insights-6/
**Canonical**: https://yubhub.co/jobs/job_f5de48cc-0a9

## Description

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 an 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.

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.

- Have 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:

- 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.

- 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.

## Skills

### Required
- C
- C++
- C#
- Java
- JavaScript
- Python
- Machine Learning
- Data Platforms
- Distributed Systems
- Data Pipelines
- Data Science
- Anomaly Detection
- Predictive Insights
- Compliance
- Security
- Azure Data Bricks
- Observability
- Model Evaluation

### Nice to have
- Responsible AI