Sr. Machine Learning Engineer, Ads Ranking

This role is based in Toronto, Canada.

Responsibilities:

• Execute the development of state-of-the-art applied machine learning projects for the ads conversion modeling team.
• Coach and mentor engineers for the conversion modeling team.
• Design features and build large-scale machine learning models to improve user ads action prediction with low latency.
• Develop new techniques for inferring user interests from online activity.
• Mine text, visual, user signals to better understand user intention.
• Work with product and sales teams to design and implement new ad products.

Requirements:

• MS or PhD degree in Computer Science, Statistics or related field.
• 3+ years of industry experience building large-scale machine learning models, with experience in ranking and recommender systems.
• Strong mathematical skills with knowledge of statistical methods.
• Cross-functional collaborator and strong communicator.
• Background in computational advertising is preferred, but not required.

In-Office Requirement:

This role will need to be in the office for in-person collaboration 1-2 times/quarter.