| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
WA
Salary
$142,800–$274,800 / yr
Posted
9 days ago
Closes
Nov 23, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $209k
$106k most similar roles pay here $293k

This role pays more than 76% of similar roles. Most pay $152,150–$208,800 — the shaded band above. At the midpoint, this role pays about $209k 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.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

As a Principal Data & Applied Scientist in the Engineering Operations (EngOps) Data & Applied Sciences team at Microsoft, you will collaborate with cross-functional teams to design and implement cutting-edge AI solutions that enhance security, reliability, and quality for Azure customers. Your day-to-day responsibilities include engaging with product and business groups to drive AI projects from conception through deployment, leveraging large-scale computing frameworks like PyTorch and TensorFlow to build and validate models, and conducting rigorous experiments to ensure the effectiveness of your solutions. You will also mentor team members, manage project timelines, and adhere to Microsoft’s Responsible AI standards throughout the development process. This role requires a deep understanding of machine learning, generative AI, and information retrieval systems, as well as experience in creating live production systems and contributing to industry publications.

What you'll do

  • Lead the lifecycle of AI projects from ideation to worldwide availability.
  • Build and apply advanced models using large-scale computing frameworks and data analysis systems.
  • Conduct rigorous experiments to assess and improve solution quality based on customer feedback.
  • Mentor team members, manage project schedules, and ensure adherence to Responsible AI standards.
  • Stay updated with advancements in machine learning and contribute to the company’s intellectual property.

What we're looking for

  • Master's degree in a relevant field with 9+ years of related experience or Ph.D. with 6+ years.
  • Extensive experience (5+) creating publications such as patents and peer-reviewed papers.
  • Proven track record (2+) presenting at industry conferences as an invited speaker.
  • Solid background (3+) conducting research within academic or industrial settings.
  • Demonstrated success (3+) developing and deploying live production systems in a product team.

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