Member of Technical Staff, Applied Scientist

Microsoft • Mountain View, CA

22h • Hybrid

About The Position

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits. Microsoft AI (MAI) Copilot team is seeking an experienced Applied Scientist to help build the foundations of Copilot memory and personalization — AI that remembers, evolves, and grows with each user. You will work in a highly collaborative, fast-paced environment to solve complex data challenges underlying personalization, designing systems that reliably capture, refine, and serve user signals across interactions. Your work will deepen memory with every interaction, personalize experiences around individual goals and preferences, and make Copilot feel like a trusted partner rather than a static tool. 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. MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Requirements

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

Nice To Haves

• Master'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 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.
• 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 3+ years experience conducting research as part of a research program (in academic or industry settings).
• 1+ year(s) experience developing and deploying live production systems, as part of a product team.
• 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

Responsibilities

• Develop and refine data pipelines and infrastructure to support AI model development for Copilot.
• Collaborate with research teams to integrate cutting-edge AI advancements into production systems.
• Design, train, and evaluate machine learning models, ensuring performance optimization and scalability.
• Work closely with engineering and product teams to ensure AI-driven experiences meet quality and user experience standards.
• Conduct rigorous data analysis and experimentation, leveraging insights to improve Copilot’s intelligence.
• Overcome obstacles to deliver iterative improvements in AI performance and responsiveness.
• Stay ahead of the latest innovations in deep learning, reinforcement learning, and generative AI.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees