Applied Scientist II: Microsoft AI Development Acceleration Program, Redmond

Come build community, explore your passions, and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead.

• 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, reviewing data preparation/ETL code, and providing 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.

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
• OR equivalent experience.

• 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 dedicated to transforming Azure into a global AI supercomputer, enabling the responsible development of cutting-edge foundational AI. This includes large language models (LLMs) designed to empower people to harness the world's knowledge, revolutionize interactions with technology, and enhance user experiences.