Microsoft Applied Scientist II 

Canada, British Columbia, Vancouver 

718037998

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.

Other Requirements:

• Ability 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 Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• 2+ year(s) research experience creating Machine Learning or Deep Learning themed paper publications (e.g., peer-reviewed academic papers) in major AI or Meteology conferences or Journals (AAAI, NeurIPS, ICML, ICCV, ECCV, AMS, AGU, EGU, Nature, Science etc.).
• 2+ year(s) hands-on experience working on data and deep learning models using Python and major deep learning frameworks (PyTorch, Tensorflow etc).

Applied Sciences IC3 - The typical base pay range for this role across Canada is CAD $83,600 - CAD $159,600 per year.

Find additional pay information here:

• Research state-of-the-art (SOTA) publications and evaluate open-source models to identify and implement innovative, scalable solutions for product challenges.
• Collaborate with product and business groups to align research and technology contributions with product goals.
• Understand, maintain, and improve existing models.
• Build foundational knowledge in relevant domains, staying updated on industry trends, tools, and methods to enhance efficiency and innovation.
• Assist in transitioning new technologies into production to address immediate product needs and drive measurable impact.
• Review business and product requirements, applying existing research and proven solutions to meet objectives effectively.