Overview:

The Microsoft AI organization includes the product, engineering, and growth teams responsible for Microsoft Bing worldwide. Our mission is to delight users everywhere with the best search experience. We build competitive and differentiated search quality experiences by engineering large-scale, reliable systems and applying modern ML and LLM-powered technologies to data at web scale.

If you’re an Engineer who is passionate about building systems that transform vast amounts of structured and unstructured data into high-quality, trustworthy search experiences, we’d love to talk. You’ll join a high-energy team that values engineering rigor, technical ownership, and impact, and that works closely across disciplines to deliver data platforms that power Bing. Above all, we strive to foster an open, inclusive, and transparent culture where engineers can do their best work.

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, implement, and operate scalable software systems and services supporting Bing data extraction, enrichment, and quality.
• Own end-to-end development of features, from technical design through production deployment and monitoring.
• Build and maintain large-scale data processing pipelines that handle structured and unstructured web data.
• Integrate LLMs and machine learning models into production systems for data extraction, normalization, grounding, and validation.
• Drive data quality, correctness, and reliability through engineering solutions, metrics, and automated checks.
• Collaborate with data scientists, product managers, and partner teams to deliver high-impact data capabilities.
• Participate in design and code reviews, contributing to technical direction and engineering best practices.
• Troubleshoot and improve system performance, scalability, and operational health.

Qualifications:

Required Qualifications:

• 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 PythonOR equivalent experience.
• 4+ years of professional software engineering experience building and maintaining production systems.
• Experience designing, implementing, and operating scalable backend or data processing systems.
• Proven ability to integrate machine learning or LLM-based components into production software systems.
• Experience owning features end-to-end and delivering high-quality solutions in ambiguous problem spaces.

Addtional or 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 PythonOR 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.
• 5+ years of professional software engineering experience building and maintaining production systems.
• Experience building large-scale data pipelines or distributed systems in a production environment.
• Familiarity with search, knowledge graphs, or web-scale data extraction.
• Hands-on experience with LLMs, machine learning models, or AI-powered data processing.
• Solid understanding of data quality, validation, and monitoring frameworks.
• Experience with cloud platforms and services, preferably Azure, including CI/CD and operational monitoring.
• Proven ability to influence technical direction and mentor junior engineers.
• Solid problem-solving skills and ability to thrive in a fast-paced, cross-functional environment.

#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 $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.