Principal Applied Scientist

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The Advanced Reasoning Group is hiring a Principal Applied Scientist at Mountain View, CA, Redmond, WA, and New York, NY. The team is responsible for creating and delivering cutting-edge reasoning technologies that drive business outcomes for Microsoft and its customers built on our partnerships across the org. We are looking for a passionate applied scientist to deliver an amazing shopping experience with a strong reasoning agent and knowledge graph backing it up.

In this role you will have the opportunity to solve problems related to LLM-based reasoning agent, shopping, and knowledge graph modeling. Computational Advertising has emerged as a new interdisciplinary field encompassing information retrieval, machine learning, data mining, statistics, operations research, and micro-economics, to address the complex problems inherent in online advertising. The exponential growth of online advertising offers immense opportunities. At Microsoft, we are constantly challenging ourselves, infusing curiosity and imagination to reshape the realm of possibilities. We innovate in machine intelligence, data analytics, big data, and distributed systems, creating the future with a customer-focused mindset.

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.

Responsibilities

• Participate in design, implementation, and execution across a variety of features regarding data science and machine learning.
• Drive innovations in LLM reasoning, analytics applications, retrieval, ranking and generic Natural Language Processing (NLP), Computer Vision (CV) models used in an ads recommender systems.
• Embody our Culture & Values

Qualifications

Required Qualifications:

  • Bachelor’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 Master’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 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
  • 1+ year LLM Generative AI experiences with chatbot, reasoning, or similar technologies

Preferred Qualifications:

  • PhD with 1+ years of research experience in data science, machine learning and/or related fields.
  • 1+ year of experience developing end to end analytics solutions or ML systems for real world applications.
  • Experience in knowledge graph building and entity linking is a plus.
  • Have publications at peer-reviewed Data Science/AI conferences (e.g. KDD-Knowledge Discovery and Data Mining, CIKM- Conference on Information and Knowledge Management, SIGIR- Special Interest Group on Information Retrieval, NeurIPS- Neural Information Processing Systems, CVPR- Computer Vision and Pattern Recognition, ICML International Conference on Machine Learning, ICLR- International Conference on Learning Representations, ICCV- International Conference on Computer Vision, and ACL- Association for Computational Linguistics).

Applied Sciences IC5 – The typical base pay range for this role across the U.S. is USD $137,600 – $267,000 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 $180,400 – $294,000 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 for the role until February 25, 2025. 

 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

 

#MachineLearning# #Advertising# #Agent# #LLM#  #MicrosoftAI#

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