| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
WA
Salary
$142,800–$274,800 / yr
Posted
14 days ago
Closes
Nov 18, 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 Software Engineer on the Bing Multimedia team’s Image Search Experience group, you will lead the development of AI-native platforms that integrate multimodal understanding, large language models, and high-performance distributed systems to enhance visual discovery at global scale. Your daily responsibilities include setting technical direction for AI-powered image search, designing durable system architectures, and implementing production-ready solutions that improve relevance and user experience. You will apply advanced AI techniques in real-world scenarios, ensuring scalable platforms with high performance and reliability, while also defining success metrics and experimentation strategies to validate impact. This role requires expertise in large language models, multimodal AI, image processing, and content understanding pipelines, along with a strong track record of mentoring engineers and driving engineering best practices at scale.

What you'll do

  • Set technical direction for AI-powered image search platforms.
  • Translate complex user needs into durable system designs and production solutions.
  • Apply large language models and multimodal AI in production systems.
  • Ensure intelligent, adaptive experiences guide users through visual exploration.
  • Design scalable platforms with high standards for performance and reliability.
  • Define success metrics and experimentation strategies to validate impact.

What we're looking for

  • Extensive experience building search, recommendation, or large-scale information retrieval systems.
  • Hands-on expertise with LLMs, multimodal AI, and AI-driven reasoning systems in production.
  • Proven track record of designing evaluation metrics for AI-powered systems.
  • Strong background in image processing, computer vision, or content understanding pipelines.
  • Experience mentoring engineers and driving engineering best practices at scale.

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