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Gen AI Principal Applied Scientist

Microsoft

Microsoft

Software Engineering, Data Science
Posted on Mar 17, 2025

Gen AI Principal Applied Scientist

Munich, Bavaria, Germany

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Date posted
Mar 17, 2025
Job number
1814005
Work site
Up to 50% work from home
Travel
0-25 %
Role type
Individual Contributor
Profession
Research, Applied, & Data Sciences
Discipline
Applied Sciences
Employment type
Full-Time

Overview

As Microsoft continues to push the boundaries of AI, we are looking for passionate individuals to work with us on a new strategic Search effort. Our vision is bold and broad — to bring the power of Copilot’s AI to shape the future of Search in the GenAI era. Bing team in Microsoft AI is seeking experienced Principle Applied Scientists to help shape and build the next wave of capabilities to Search.

As a Principal Applied Scientist you will design and develop LLMs and underlying subsystems to tailor to various Search specific scenarios. We are looking for an individual who has the proven capability of working with research and Search teams and partnering with them to deliver the best of joint class solutions. This can range from alignments with senior stakeholders, working together to building models, to coming up, with ways to build custom LLMs and architecture for specific product needs (especially GenAI).

We are excited to hear from candidates who are passionate about making a significant impact on how people interact with Search, and who are excited about the opportunity to be at the forefront of Search and AI. This is a rare chance to be part of a cutting-edge technology that is poised to revolutionize how we empower hundreds of millions of Search users across the globe!

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.

Qualifications

Required Qualifications:

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

Preferred Qualifications:

  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND extensive years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND significant years related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.
  • Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
  • Significant years experience conducting research as part of a research program (in academic or industry settings).

#MicrosoftAI #Bing

Responsibilities

  • You will act as a leading expert in your field for a broad area of research, applying this knowledge to solve product-related problems. You’ll also champion innovative technologies related to industry trends, products, and other advances, and develop and share unique technical knowledge with teams.
  • You will incorporate key business and product requirements to define a clear agenda and drive programs around key business challenges. You’ll advise teams on methods, ensure quality and scientific rigor, and drive business impact.

  • You will proactively provide mentorship and build your team’s capabilities. You’ll establish best practices, serve as technical lead, build trusted relationships with internal and external stakeholders and drive efforts to attract, screen and interview top talent.

  • You will drive discussions around ethics and privacy policies related to research and lead decision making efforts. You’ll ensure that members across the discipline are aware of the potential for bias in the solutions being developed.


Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.