Microsoft Principal Applied Scientist 

Switzerland, Zurich, Zurich 

113741305

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).

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 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 related 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:

• 3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 7+ years experience conducting research as part of a research program (in academic or industry settings).

• 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.