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Applied Science Manager III, RBKS AI

ID: 5165

Type: Full-time

Category: Others

Company Name: Amazon Development Centre Canada ULC

Location: CAN, ON, Toronto - Toronto - Canada

Salary: 222,800.00 - 372,000.00 CAD annually

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Job 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 Information

Company Name: Amazon Development Centre Canada ULC

Company Website: https://www.amazon.jobs/en/locations/canada

Company Address: CAN, BC, Vancouver

Amazon Development Centre Canada ULC is a Canadian legal entity and part of the global Amazon organization that houses software development, product engineering, research and related technical operations supporting Amazon’s consumer retail, cloud, devices, media and advertising businesses. As a development centre entity within Amazon’s corporate structure, it functions as an engineering and product delivery organization that employs software engineers, data scientists, machine learning specialists, product managers, designers, quality engineers and operations staff to design, build, test and operate software systems and services used by Amazon customers and internal business teams. The company’s core activities are centered on software and systems development across multiple technology domains. These activities typically include back-end and front-end application development, distributed systems engineering, cloud services work (including integration with Amazon Web Services), data engineering, analytics and machine learning model development, natural language processing work for voice services, computer vision R&D, infrastructure automation, security engineering and developer tooling. Teams operating under the development centre model commonly focus on delivering scalable services for retail commerce (catalog, search, recommendations, pricing, inventory and checkout), digital media (streaming and content delivery), consumer devices (software for Alexa-enabled products and IoT integrations), advertising technology (targeting, measurement and auction systems), and enterprise offerings (AWS features and management tools). The organisation also supports lifecycle activities for Amazon products and services, including product management, technical program management, continuous integration and continuous delivery (CI/CD) pipelines, site reliability engineering (SRE), monitoring and incident response, performance engineering, and operational support. Development centres play a role in prototyping new features, running experiments and A/B tests, and collaborating with global product teams to localize and adapt features for Canadian markets when appropriate. The teams frequently interface with cross-functional stakeholders—user experience researchers, UX designers, business analysts, legal and policy teams, and operations—to deliver end-to-end solutions aligning with Amazon’s product and customer experience goals. In terms of products and services, Amazon Development Centre Canada ULC does not sell consumer-facing products under its own brand; rather, it contributes engineering and product work to Amazon’s broad portfolio. Outputs from its teams feed into Amazon’s retail platforms (amazon.ca and global retail storefronts), AWS services, Alexa and Echo device software, Prime Video and digital content systems, Amazon Logistics and fulfillment technology, Amazon Advertising products, and other Amazon-owned services. These contributions include new features, performance and scale improvements, security and compliance implementations, localization for Canadian customers, and enhancements to data and machine-learning systems used for personalization, fraud detection, supply chain optimization and advertising. As a legal entity in Canada, Amazon Development Centre Canada ULC typically supports hiring and employment, payroll administration, workplace facilities and compliance with Canadian regulatory and labour requirements for Amazon’s engineering workforce in the country. The development centre model enables Amazon to maintain distributed engineering capacity outside its U.S. headquarters, providing both local product focus and integration into Amazon’s global engineering processes and technology stacks. Teams in such centres often collaborate closely with other Amazon engineering groups across North America, Europe and Asia, participating in shared codebases, microservice architectures, global release processes and Amazon-wide technical standards. Amazon’s publicly stated corporate mission—to be Earth’s most customer-centric company—is reflected in the development centre’s emphasis on customer-focused product delivery, data-driven decision-making and rapid iteration. The centre’s efforts are typically aligned to measurable customer outcomes such as lower latency, more relevant search results and recommendations, improved reliability and availability of services, faster feature delivery, and localized enhancements that improve the experience for Canadian customers. The operation also invests in workforce development, supporting internships, university hiring pipelines, co-op programs and community engagement in the technology ecosystem, as part of Amazon’s broader commitments to hiring and local economic participation. Security, privacy and regulatory compliance are also core considerations for engineering work done by Amazon Development Centre Canada ULC. Teams are expected to follow Amazon-wide security practices, data protection standards and compliance programs to meet applicable Canadian and international legal requirements, particularly for customer data, payment processing and cloud services. Research and engineering efforts may include building privacy-preserving machine learning, secure authentication systems, and compliance tooling to support regulated industries and jurisdictional requirements. Overall, Amazon Development Centre Canada ULC operates as a technology-focused subsidiary entity within the Amazon corporate family, delivering software engineering, data science and product development work that underpins many of Amazon’s consumer and enterprise offerings. Its contributions enable Amazon to scale technology development globally while retaining localized capabilities for the Canadian market.
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