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Microsoft Senior Applied Scientist 
United States 
685275025

09.07.2024
Qualifications

Required Qualifications

  • 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.

  • 2+ years of experience in Python, PyTorch, TensorFlow, or other machine learning frameworks.
  • 2+ years of relevant industry experience driving cutting-edge research into real world impact.

Other RequirementsAbility to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check:This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications

  • Written and verbal communication skills, ability to simplify and explain complex ideas.
  • 2+ years of experience in research areas such as generative AI/ agentic frameworks, large language models, risk quantification, anomaly detection, clustering, statistics, time series analysis, reinforcement learning, or graph algorithms.
  • Experience in safety and ethical aspects of AI.
  • Experience in technology transfer of applied research. Experience conducting high-quality research and publishing.
  • Experience in working with large-scale datasets.
  • Experience in applying machine learning to security and safety domains, such as malware detection, fraud prevention, or cyber-physical systems.
  • Background in cyber security including knowledge of adversary tradecraft, emerging threats, or SOC operations.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Responsibilities
  • Conduct cutting-edge research that builds towards transformative defensive security capabilities with demonstrated scientific rigor.
  • Work with defenders, threat hunters, PMs, and engineers to turn research into effective solutions that improve our ability to protect ourselves.
  • Share research findings and innovations through academic publications, open-source releases, blog posts, patents, and industry conferences.
  • Participate in partnerships with academia and industry to advance the state of the art in the field

Other

  • Embody our and