Principal Software Engineer - ML
Microsoft
Software Engineering, Data Science
Posted on Nov 1, 2025
Principal Software Engineer - ML
Noida, Uttar Pradesh, India
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Date posted
Oct 30, 2025
Job number
1903261
Work site
3 days / week in-office
Travel
0-25 %
Role type
Individual Contributor
Profession
Software Engineering
Discipline
Software Engineering
Employment type
Full-Time
Overview
Are you passionate about creating innovative solutions that empower users to achieve more with Office applications? Do you have a strong background in natural language processing, generative AI, and engineering? If so, we are looking for a Principal ML Software Engineer to join our team, working at the intersection of generative AI and engineering for Office. In this role, you will drive cutting-edge projects, contribute to the Copilot ecosystem, and help shape the Agentic future with one of the most widely used software products in the world.
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.
Qualifications
Required Qualifications:
- Bachelor'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#, Go, Java, or Python
- OR equivalent experience.
- OR equivalent experience.
- 6+ years technical engineering experience designing and delivering highly available, large-scale cloud services and distributed systems.
- Experience building AI or ML related applications.
Preferred Qualifications:
- 8+ years of technical engineering experience with coding in languages including, but not limited to, C++, C#, Go, Java, or Python.
- 3+ years of technical engineering experience with machine learning or AI systems.
- Experience building or maintaining evaluation systems, benchmarking tools, or ML model testing frameworks.
- ML, statistics, and data science experience are a plus.
Responsibilities
- Design, implement and deliver AI services to support product offerings for large scale.
- Design and build the end-to-end pipelines covering model training, data analysis, model serving and model evaluation.
- Design and develop scalable systems for benchmarking AI models, including pipelines for automated evaluation, metric tracking, and result visualization.
- Build and maintain a robust data platform to support model evaluation workflows, including ingestion, versioning, and storage of datasets and model artifacts.
- Demonstrate good understanding of LLM architectures, training and inference.
- Collaborate closely with product management and partner teams to align technical direction with business goals.
- Innovate on technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect
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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.