mid machine learning Applied Scientist ic Bachelor's · Posted Feb 24, 2026
C$149,300 – C$249,300
CAD per year

About this role

Amazon is hiring a mid-level Applied Scientist in the machine learning function based in Toronto, Canada. The posting calls out experience with Python, Java, LLMs, NLP. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at C$149,300–C$249,300 per year.

Role
Applied Scientist
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Toronto, Canada
Education
Bachelor's degree
Department
Applied Science
Posted
Feb 24, 2026
AI Summary
Build machine learning models for Amazon Advertising's AI/ML team, focusing on sequential recommender systems, deep learning, and reinforcement learning to create customer-facing recommendations and budget allocation insights. Design and implement production-ready models, conduct A/B experiments, and collaborate with engineering and product teams to drive adoption of innovative solutions.

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Job description

from Amazon careers

Are you interested in shaping the future of Advertising and B2B Sales? We are a growing team with an exciting AI-first charter and need your passion, innovative thinking, and creativity to help take our products to new heights. Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We break fresh ground in product and technical innovations every day! Within the Advertising Sales organization, we are building a central AI/ML team and are seeking top Applied Science talent to help us build new, science-backed services that drive success for our customers. Our goal is to transform the way account teams operate by creating actionable insights and recommendations they can share with their advertising accounts, and ingesting Generative AI throughout their end-to-end workflows to improve their work efficiency. As an Applied Scientist on the team focused on creating customer-facing recommendations related to our advertising products and budget allocations, you will bring deep expertise in quantitative modeling techniques such as Sequential Recommender Systems, Deep Learning, Reinforcement Learning or Hidden Markov Models. You have…

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