| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $142,800–$274,800 / yr
Posted: 53 days ago
Closes: Oct 10, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $222k

This role $209k

$127k most similar roles pay here $291k

This role pays less than 59% of similar roles. Most pay $195,000–$249,750 — the shaded band above. At the midpoint, this role pays about $209k versus about $222k for comparable roles.

Based on 240 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 310 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 285 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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As a Principal Machine Learning Engineer at Microsoft’s MAI organization, you will join a dynamic team focused on data labeling and classification for multi-modal Copilot data. Your role involves prototyping and operationalizing complex classification flows on production logs, ensuring secure and compliant data-labeling pipelines are in place. Day-to-day responsibilities include building evaluation loops, generalizing ML solutions into frameworks, and operating prompted classifiers at scale with robust monitoring and cost management. You will collaborate closely with Data Science, Security, and Platform teams to define schemas and governance, while independently writing efficient code for model pipelines. Ideal candidates have 7+ years of experience in Python or Java/Scala, extensive knowledge in distributed systems, and expertise in ML data pipelines using tools like AML, Promptflow, Langchain, or LangGraph. This role demands a strong background in Responsible AI and working with large language models to address complex business challenges at scale.

Skills

Python Java Scala AML Promptflow Langchain LangGraph Distributed Systems Large Scale Data Processing ML Data Pipelines Responsible AI Large Language Models

What you'll do

Build evaluation loops for precision/recall, calibration, drift, and human-in-the-loop processes.
Generalize ML solutions into repeatable frameworks for scalable deployment.
Operationalize prompted classifiers at scale, including batch and streaming operations.
Write efficient, readable, extensible code and model pipelines independently.
Conduct thorough reviews of data analysis techniques to ensure accuracy and completeness.
Collaborate with Security and Platform teams to define schemas and governance standards.

What we're looking for

7+ years of experience writing production-quality Python, Java, or Scala code.
5+ years of experience in designing and implementing distributed systems for large-scale data processing.
3+ years of experience building ML data pipelines using AML, Promptflow, Langchain, or LangGraph.
Proven expertise in responsible AI practices.
Experience with prompting, evaluating, and working with large language models.

Senior Lead Machine Learning Engineer

Capital One Financial

McLean, VA 31 days ago $229,900–$262,400

Python PyTorch scikit-learn TensorFlow Spark Dask CI/CD Kubernetes AWS Google Cloud Platform Azure PostgreSQL MongoDB Git Jupyter Notebook Docker Prometheus Grafana

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