Microsoft Applied Scientist Opportunities - PhD 

United States, Massachusetts, Cambridge 

525413910

MAIDAP (

Required Qualifications:

• Doctorate (or currently pursing a degree) in Statistics, Mathematics, Computer Science, Electrical or Computer Engineering, or related field.
• Candidates must be available to start full-time in July 2025.

Preferred Qualifications:

• A publication record in any of the following or related modeling paradigms: LLMs/SLMs/multi-modal models/probabilistic graphical models/Bayesian networks/deep learning/reinforcement learning/time series/active learning/fair and interpretable AI/optimization for machine learning.
• Experience in any of the deep learning frameworks.
• 2+ years experience and proven knowledge in Python/R/Scala or similar.
• Application experience in language, speech, vision, graphics, gaming, recommendation.
• Ssystems, or other big-data applications a bonus.
• Proficient written and oral communication skills.
• Energized by creating AI solutions that can positively impact the work and lives of millions of people.
• Passion for data-driven learning.
• Excited by the prospect of working on a wide variety of datasets and AI applications, across many products and engineering teams.
• Believe that AI is a team sport.
• Enjoy being an active member of a diverse and inclusive cohort.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Research, develop, and lead the implementation of AI solutions in application projects for Microsoft’s products and services.
• Select and apply appropriate statistical and machine learning techniques to large-scale, high-dimensional data.
• Stay current with the latest research and technology and communicate your knowledge throughout the organization.
• Take responsibility for preparing data for analysis, review data preparation/ETL code and provide critical feedback on issues of data integrity.
• Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers.
• Patent and publish relevant IP and scientific research.
• Up to 10% travel may be required.