Overview

Joining the CoreAI organization at Microsoft means becoming part of the team that builds the end-to-end AI stack powering Azure’s innovation. As a member of the GenAI Infra and Solutions team within CoreAI, you will help develop the AI infrastructure that accelerates the creation of agentic AI systems across Microsoft. This role is dedicated to advancing scientific methods and scalable infrastructure for training agentic models to achieve frontier-level performance. You will contribute to LLMs, SLMs, and agentic models using both proprietary and open-source frameworks, all aimed at delivering reliable, enterprise-grade agentic workflows.

Responsibilities

• Write efficient, production-quality code and debug complex training jobs
• Build and maintain training pipelines and architectures across both proprietary and open-source frameworks
• Collaborate effectively within interdisciplinary teams and communicate complex research concepts in clear, actionable ways
• Document findings and insights to enable effective cross-team collaboration and knowledge sharing
• Drive innovations that power flagship Microsoft products and services

Qualifications Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)- - OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• 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

Preferred Qualifications:

• 5+ years of coding experience in Python and experience with ML frameworks such as Py Torch and Triton
• 3+ years experience of large-scale model training for LLMs, SLMs, and agentic models
• 3+ years of proven ability to design and scale training infrastructure and pipelines in production environments
• Experience with agent training frameworks
• Experience with large-scale distributed training and/or serving with demonstrated ability to dive deep into complex systems, troubleshoot unconventional issues, and craft innovative solutions under real-world constraints
• Extensive experience with large-scale training, model inference, reinforcement learning, and reasoning models

Applied Sciences 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.