toronto on amazon cloud support engineer Jobs – 91 Openings This Week

Applied Science Manager III, RBKS AI
Amazon Development Centre Canada ULC —Toronto, ON
- $222,800–$372,000 a year
- Full-time
- Machine learning
- Profit sharing
- Dental care
Agentic AI Architect
TheAppLabb —Toronto, ON
- Full-time
- Remote
- Azure
- DevOps
- AWS
Quick apply
Sr. Data Solutions Architect
Carbon60 —Toronto, ON
- $170,000–$180,000 a year
- Full-time
- Remote
- Azure
- Oracle
- DevOps
- Dental care
- Flexible schedule
Quick apply
8d
Senior Web Application Developer
Flynn Group of Companies —Mississauga, ON
- $120,000–$150,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
- Relocation assistance
- Dental care
Quick apply
10d
AI Architect (AWS & Agentic AI)
TheAppLabb —Toronto, ON
- Full-time
- Remote
- Azure
- DevOps
- AWS
Quick apply
Technical Architect
ShyftLabs —Toronto, ON
- $125,000–$175,000 a year
- Full-time
- Hybrid work
- Computer Science
- System design
- Databases
- Dental care
- Vision care
Quick apply
C++ Developer with Capital Market exp
Luxoft —Toronto, ON
- Computer science
- Computer Science
- DevOps
10d
Senior Director Engineering, Home Software Applications
Generac Power Systems Inc —Toronto, ON
- $239,000–$323,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Disability insurance
- Dental care
Quick apply
Senior Field Engineer - Canada
IonQ —Toronto, ON
- Doctoral degree
- Computer Science
- Sales
- Designated paid holidays
- Dental care
Senior 3D & AI Systems Software Developer
CoLab Software —Toronto, ON
- Full-time
- Remote
- CAD
- Databases
- SQL
- Dental care
Quick apply

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A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
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Applied Science Manager III, RBKS AI

Amazon Development Centre Canada ULC -
Toronto, ON

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Job details

Full-time
$222,800–$372,000 a year

Qualifications

TensorFlow
PyTorch
Machine learning

Full job description

DESCRIPTION

The RBKS AI team is responsible for innovating AI features for Ring and Blink cameras, with a mission to make our neighborhoods safer. We are working at the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking Applied Science Manager to lead initiatives that combine advanced computer vision and multimodal GenAI capabilities. This role offers a unique opportunity to lead a world-class team while shaping next-generation home security technology and 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

Lead and guide a team of applied scientists in designing and developing advanced computer vision and GenAI models and algorithms for comprehensive video understanding, including but not limited to object detection, recognition and spatial understanding
Drive technical strategy and roadmap for privacy-preserving CV and GenAI models and systems, ensuring the team delivers efficient fine-tuning and on-device and in-cloud inference solutions
Partner with product and engineering leadership to translate business objectives into technical roadmaps, and ensure delivery of high-quality science artifacts that ship to products
Build and maintain strategic partnerships with science, engineering, product, and program management teams across the organization
Recruit, mentor, and develop top-tier applied science talent; provide technical and career guidance to team members while fostering a culture of innovation and excellence
Set technical direction and establish best practices for AI products/features across multiple projects and initiatives

BASIC QUALIFICATIONS

6+ years of scientists or machine learning engineers management experience
Experience managing multiple projects and priorities across teams in a fast-paced, deadline-driven environment
Technical depth in AI, Computer Vision, modern ML frameworks and infrastructure to guide team technical decisions and code reviews

PREFERRED QUALIFICATIONS

Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals
Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
Experience leading development of real-time computer vision systems and optimization techniques at scale
Experience setting technical vision and multi-year roadmaps for applied science teams

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, ON, Toronto - 222,800.00 - 372,000.00 CAD annually

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