Member of Technical Staff, Data Scientist, Copilot Memory and Personalization

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Job Description

OverviewAs 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) is seeking experienced Data Scientists to help build Copilot memory and personalization — AI that remembers, evolves, and grows with each user. You’ll work in a highly collaborative, fast-paced environment to develop systems that deepen memory with every interaction, personalize experiences to reflect each user’s unique style and goals, and make interactions feel more like working with a trusted partner than using a 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.
By applying to this U.S. Mountain View, CA you are required to be local to the San Francisco area and in office 3 days a week. 
ResponsibilitiesIn this role, you will: 

• Develop and improve evaluation methodologies to assess model output quality, for both machine eval and human eval metrics and coverage.
• Design and implement scalable data pipelines to extract, transform, and structure product logs for evaluation use cases.
• Stay current on the latest in LLM research on evaluation and prompting.
• Drive actionable product insights, opportunity analyses, and metric tracking to guide product direction and success.
• Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation.
• Design and maintain core data pipelines and conduct hands-on analysis of large-scale telemetry data using advanced algorithms and tools.
• Articulate insights, storyboard with data and communicate to influence leadership and other key decision makers.
• Stay current on the latest in LLM research on evaluation and prompting.
• Enjoy working in a fast-paced, design-driven, product development cycle.  

Qualifications
Required Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1 year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.
• 1 year customer-facing, project-delivery experience, professional services, and/or consulting experience.

Preferred Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5 year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.
• Experience in designing core data pipelines and conduct hands-on analysis of large-scale telemetry data using advanced algorithms and tools.
• Experience building or evaluating LLM applications in production.

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 per year.
Data Science 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     Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#Copilot #MicrosoftAI

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