Microsoft Applied Scientist 

Canada, British Columbia, Vancouver 

291766808

is responsible forproduct ads selection, relevance, modeling, and online infrastructure for serving and experimentingcutting edge

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.
• 2+years working experience instatistical natural language processing (NLP) with latest deep learning technologies including transformer and Large Language Models (LLMs)ORComputer Vision(CV) with latest deep learning technologies including Vision Transformers.
• 2+ years working experience with coding in production systems usingc++

Preferred Qualifications:

• PhD degree is a plus.
• Deep learning or machine learning experiencewith experience with TensorFlow,Keras, orPytorchis aplus
• Publication record in ML, NLP areas (CV also is preferred)
• Experience in online advertising is a plus.
• Experience in parallel or distributed processing, high performance computing, stream computing and SCOPE is a plus

• 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:
  

• sto mine and learn actionable insights from large scale data and signals we collect from user queries and online activities,advertisercreated campaigns and their performances, and myriad responses from the parties touched by the system in Bing ads paid search ecosystem.

• The person will play a key rolein drivingalgorithmic and modeling improvement to the system (esp. using deep learning techniques), analyze performance andidentifyopportunities based on offline and online testing, develop, and deliver robust and scalable solutions, make direct impact to both user and advertisers experience, and continually increase the revenue for Bing ads.
• Embody our and