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, C#, LLMs. 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 and deploy autonomous AI agents for Amazon Advertising using NLP, LLMs, deep learning, and reinforcement learning. Design state-of-the-art models, run A/B experiments, and optimize ad sales workflows at scale. Requires expertise in generative AI, transformer architectures, and production ML systems.

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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 AI agents that help optimize their end-to-end workflows, and developing actionable insights and recommendations they can share with their advertising accounts As an Applied Scientist on the team with a specific focus on creating autonomous AI agents that can operate accurately at large scale, you will bring deep expertise in Natural Language Processing (inc. tokenization, syntactic parsing, named entity recognition (NER), sentiment analysis, text classification), Large Language Models…

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