Senior Software Engineer, Knowledge Graph/Entity...

Microsoft
Redmond, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 235K

Job location

Mountain View, United States of America

Tech stack

C
Java
JavaScript
Artificial Intelligence
Microsoft Online Services
C Sharp (Programming Language)
C++
Distributed Systems
Entity Framework
Graph Database
Information Extraction
Python
Machine Learning
Microsoft Office
Named Entity Recognition
Search Technologies
Software Engineering
Unstructured Data
Large Language Models
Semi-structured Data
Information Technology
Data Analytics

Job description

We are looking for a Senior Software Engineer to join our Entity Data team within Microsoft AI Search. Our team develops AI-powered systems that identify, extract, enrich, and understand real-world entities from large-scale content sources. We leverage machine learning and LLM-based techniques to build high-quality entity representations and relationships that power intelligent search and AI experiences.

This role focuses on solving challenging problems in information extraction, entity understanding, entity resolution, and knowledge acquisition from unstructured and semi-structured data. The ideal candidate is passionate about applying software engineering, machine learning, and LLM technologies to improve the quality and coverage of entity intelligence at scale.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

  • Design and develop systems for entity extraction, enrichment, and understanding from diverse content sources.

  • Apply machine learning and LLM-based approaches to identify, classify, and enrich entities and their attributes.

  • Build solutions for entity resolution, disambiguation, and linking across multiple data sources.

  • Improve entity quality through precision/recall analysis, evaluation frameworks, and data-driven experimentation.

  • Develop scalable workflows for processing large volumes of structured and unstructured content.

  • Collaborate with applied scientists, data scientists, and product teams to bring AI-powered entity capabilities into production.

  • Drive technical design, implementation, testing, and operational excellence for entity intelligence systems.

  • Mentor engineers and contribute to technical leadership across the team.

Requirements

  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

  • OR equivalent experience.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

  • OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

  • OR equivalent experience.

  • Experience working with machine learning or AI-driven systems.

  • Experience processing and analyzing large-scale structured or unstructured datasets.

  • Solid understanding of software design, distributed systems, and production engineering practices.

  • Demonstrated ability to independently drive projects from concept to production.

  • Excellent problem-solving and cross-functional collaboration skills.

#MicrosoftAI

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.

About the company

Microsoft is a global technology company headquartered in Redmond, Washington. Our mission is to empower every person and every organization on the planet to achieve more. We develop, license, and support a wide range of software products, services, and devices that help individuals and businesses realize their full potential.

Our flagship products include the Microsoft 365 productivity cloud, Windows operating system, Azure cloud platform, and Dynamics 365 business applications. We are also a leader in areas such as artificial intelligence, cybersecurity, developer tools, and gaming through Xbox and Game Pass.

With operations in more than 190 countries and over 220,000 employees worldwide, Microsoft is committed to responsible innovation, inclusive economic growth, and sustainability. We work closely with governments, industries, and communities to ensure that technology serves the public good and helps address some of the world’s most pressing challenges.

As we celebrate our 50th anniversary in 2025, we continue to look forward—investing in AI, cloud, and quantum computing to shape the future of work, education, and society at large scale.

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