| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
Salary
$119,800–$234,700 / yr
Posted
53 days ago
Closes
Oct 10, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 54% of similar roles. Most pay $152,150–$208,800 — the shaded band above. At the midpoint, this role pays about $177k versus about $180k for comparable roles.

Based on 239 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 728 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 664 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

As a Member of Technical Staff - Software Engineer & Machine Learning at the Microsoft AI (MAI) organization, you will join a dynamic team to develop AI Insights, an advanced Copilot analytics product. Your primary responsibilities include building scalable data pipelines for telemetry ingestion and anomaly detection, implementing ML-driven insights such as prompted classifiers and integrating them into dashboards and APIs, while ensuring compliance and security in handling production logs and conversation data. You will also collaborate with PMs and UX designers to refine hypotheses and deliver high-impact workflows that connect quantitative metrics to qualitative evidence. The role requires expertise in machine learning, distributed systems, and hands-on experience with observability tools and model evaluation frameworks. Ideal candidates have a track record of leading small teams and working effectively across cross-functional stakeholders, demonstrating a commitment to Responsible AI principles.

What you'll do

  • Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
  • Implement ML-driven insights and integrate them into dashboards and APIs.
  • Develop secure workflows for handling production logs and conversation data.
  • Enable drill-down capabilities linking metrics to qualitative evidence for actionable context.
  • Prototype and productionize ML models for anomaly detection and predictive insights.

What we're looking for

  • Extensive hands-on experience in building scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
  • Expertise in implementing ML-driven insights and integrating them into dashboards and APIs.
  • Strong background in developing secure and compliant workflows for handling production logs and conversation data.
  • Experience in prototyping and productionizing ML models for anomaly detection and predictive insights.
  • Proven ability to collaborate with product managers, UX designers, and security specialists on technical strategy and roadmap definition.
  • Demonstrated hands-on experience with observability tools (metrics, tracing, logs) and model evaluation frameworks.

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