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, Deep Learning. 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
Mid-level Applied Scientist building ML and Generative AI solutions for Amazon Advertising's sales organization. Develop forecasting models, recommender systems, and AI-driven insights to optimize ad sales workflows. Requires expertise in generative AI, quantitative modeling, and production-scale implementation with strong communication skills.

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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 science and engineering team with an exciting 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 science talent to build new, science-backed services to 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 a part of our team, you will bring deep expertise in Generative AI and quantitative modeling (forecasting, recommender systems, reinforcement learning, causal inferencing or generative artificial intelligence) to build and refine models that can be implemented in production. You will contribute to chart new…

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