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
Applied Scientist building ML/AI solutions for Amazon Advertising's sales team. Design and implement sequential recommender systems, deep learning, and reinforcement learning models to generate actionable insights and recommendations. Requires expertise in quantitative modeling, NLP, generative AI, and ability to communicate complex technical approaches to stakeholders.

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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, you will bring deep expertise in quantitative modeling techniques such as Sequential Recommender Systems, Deep Learning, Reinforcement Learning or Hidden Markov Models. You have the scientific and technical skills to build and refine models that can be…

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