Applied Science Manager III, RBKS AI

Amazon; Toronto; On-site; CAD 223,000 - 372,000; Full time

Benefits offered by this job

Health insurance

RRSP

DPSP

Paid time off

RSUs (stock)

Job summary

Amazon Development Centre Canada ULC in Canada is seeking an Applied Science Manager to lead a world-class team advancing computer vision and multimodal GenAI for Ring and Blink cameras. You will shape AI algorithms, drive privacy-preserving systems, and partner with product and engineering to deliver high-impact research-to-product artifacts.

The role involves recruiting and mentoring, setting technical vision, and guiding multiple projects toward scalable real-time video understanding

Qualifications

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

Responsibilities

• Lead and guide a team of applied scientists in designing and developing advanced computer vision and GenAI models and algorithms for video understanding.
• Drive technical strategy and roadmap for privacy-preserving CV and GenAI models and systems with on-device and cloud inference.
• Partner with product and engineering leadership to translate business objectives into technical roadmaps and ensure delivery of scientific artifacts to products.
• Build and maintain strategic partnerships with science, engineering, product, and program management teams.
• Recruit, mentor, and develop top-tier applied science talent; foster a culture of innovation and excellence.
• Set technical direction and establish best practices for AI products/features across projects.

Skills

Management experience

Multi-project leadership

AI & CV depth

Tools

PyTorch

TensorFlow

MXNet

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

Company

Amazon Development Centre Canada ULC

Job ID: A3130707