| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
Redmond, WA
Salary
$119,800–$234,700 / yr
Posted
16 days ago
Closes
Nov 28, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $200k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 55% of similar roles. Most pay $177,250–$222,437 — the shaded band above. At the midpoint, this role pays about $177k versus about $200k 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 1589 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1415 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

We are seeking a Senior Software Engineer to join our Entity Data team within Microsoft AI Search, where you will develop AI-powered systems that extract, enrich, and understand real-world entities from large-scale content sources. Your day-to-day responsibilities include designing and implementing entity extraction and enrichment solutions using machine learning and LLM-based techniques, building scalable workflows for processing diverse data types, and collaborating with cross-functional teams to drive technical design and operational excellence. Ideal candidates should have experience in machine learning, AI-driven systems, and large-scale dataset analysis, along with a solid understanding of software design, distributed systems, and production engineering practices. This role involves tackling complex challenges in information extraction and entity resolution at scale, contributing to the advancement of intelligent search and AI experiences within Microsoft's expansive ecosystem.

What you'll do

  • Design and develop systems for extracting, enriching, and understanding entities from various content sources.
  • Apply machine learning and LLM techniques to classify and enhance entity attributes and relationships.
  • Build solutions for resolving ambiguities and linking entities across different data sets.
  • Enhance entity quality through analysis of precision/recall metrics and iterative experimentation.
  • Create scalable workflows for processing large volumes of structured and unstructured data.

What we're looking for

  • Extensive experience in designing and developing AI-powered entity extraction and enrichment systems.
  • Proficiency in applying machine learning and LLM-based techniques for entity identification, classification, and attribute enrichment.
  • Strong background in building scalable solutions for entity resolution and linking across multiple data sources.
  • Expertise in precision/recall analysis and evaluation frameworks to enhance entity quality through data-driven experimentation.
  • Solid understanding of software design, distributed systems, and production engineering practices for large-scale content processing.
  • Proven ability to independently drive complex projects from concept to production, demonstrating technical leadership.

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