mid machine learning Applied Scientist ic 5+ yrs Master's · Posted Nov 13, 2025
C$195,900 – C$327,200
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, PyTorch, LLMs, Computer Vision and roughly 5+ years of relevant work. Listed education preference: a master's degree or equivalent. Compensation is listed at C$195,900–C$327,200 per year.

Role
Applied Scientist
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Toronto, Canada
Experience
5+ years
Education
Master's degree
Department
Applied Science
Posted
Nov 13, 2025
AI Summary
Design and develop computer vision and generative AI models for Ring and Blink camera video understanding, including object detection and multimodal LLMs. Requires PhD or Master's with 8+ years applied research experience, proven expertise in CV/GenAI models, and 5+ years hands-on experience with PyTorch or similar frameworks.

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Job description

from Amazon careers
The RBKS AI team is responsible innovating AI features for Ring and Blink cameras, with a mission to make our neighborhood safer. We are working in the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking AI Applied Scientists to work on initiatives that combine advanced computer vision and multimodal GenAI capabilities. This role offers a unique opportunity to shape next-generation home security technology while advancing the field of AI algorithms and systems.

The team is focused on productizing research in computer vision and GenAI into products that benefit millions of customers worldwide, such as real-time object detection, video understanding, and multimodal LLMs. We are at the forefront of developing AI solutions that seamlessly blend into our products while respecting privacy, delivering unprecedented levels of intelligent security experience.

Key job responsibilities
* Design and develop advanced computer vision and GenAI models and algorithms for comprehensive video understanding, including but not limited to object detection, recognition and spatial understanding
* Develop privacy-preserving CV and GenAI models and systems, focusing on efficient fine-tuning and on-device and in-cloud inference
* Map product requirements into science solutions and deliver high-quality science artifacts that ship to products
* Collaborate with scientists, engineers, product/program managers and other cross-functional teams
* Provide technical leadership on AI products/features, and develop and mentor junior scientists on the team.

Basic Qualifications

This is an excerpt. Read the full job description on Amazon careers →
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