Principal Machine Learning Engineer

Core AI is at the forefront of Microsoft's mission to redefine how software is built and experienced. Weare responsible forbuilding the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software.

The Observability group is focused on developing solutions to monitor, evaluate, andoptimizeAI agent performance. We areseekinga passionate and skilled software engineer to join the Observability platform team. This teamis responsible forbuilding the services that power Observability in Foundry.

• Design, implement and deliver AI services to supportproductofferingsforlarge-scaleagent observability

• 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

• Take end-to-end responsibility for the development lifecycle and production readiness of the services you build and drive the team's DevOps culture

• Engage with customers to gather feedback and resolve complex issues

• Understand Microsoft businesses and collaborate with stakeholders towards cohesive, end-to-end experiences for Microsoft customers

• Innovate ontechnical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products.

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.

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:

• 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
• 6+ years technical engineering experience designing and delivering highly available, large-scale cloud services and distributed systems.
• Experience building AI or ML related applications.

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Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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.