# Member of Technical Staff - Software Engineer & Machine Learning

**Company**: Microsoft
**Location**: New York
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $119,800 - $234,700 per year
**Category**: Engineering
**Industry**: Technology
**Ticker**: MSFT
**Wikidata**: https://www.wikidata.org/wiki/Q2283

**Apply**: https://microsoft.ai/job/member-of-technical-staff-software-engineer-machine-learning-4/
**Canonical**: https://yubhub.co/jobs/job_36d7aa8a-044

## Description

As a Member of Technical Staff – Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from “What happened?” to “Why did it happen?” in minutes. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations, developing AI-based insights on large-scale multi-modal Copilot data part of the Microsoft AI (MAI) organization.

We’re looking for an experienced Machine Learning engineer with strong hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. 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:

- Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.

- Implement ML-driven insights (prompted classifiers, anomaly detection) 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.

- 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.

- 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.

Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.

Qualifications:

- Bachelor’s Degree in Computer Science or related technical field AND 4+ 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.

- Demonstrated interest in Responsible AI.

## Skills

### Required
- C
- C++
- C#
- Java
- JavaScript
- Python
- Machine Learning
- Data Platforms
- Distributed Systems