Skip to main content
Post your resume and find your next job on Indeed!

Big Data jobs in Toronto, ON

Sort by: -
    • We are working at the intersection of computer vision, generative AI (GenAI), and ambient intelligence.
    • The team is focused on productizing research in computer…
    • 7+ years of progressive experience in data engineering and data platform delivery, including leading teams on large-scale enterprise solutions.
    • Champion data engineering excellence by leading the review of complex data architectures and establishing best practices for schema management and data…
    • Experience designing and supporting data lakes, data warehouses, streaming platforms, and modern analytics ecosystems.
    • Champion data quality, documentation, and alignment with data governance best practices, supported by Microsoft Purview.
    • Partner with developers, data scientists, and business stakeholders to embed insights into enterprise workflows and lead data-informed decisions.
    • Experience analyzing cloud billing and consumption data from AWS, Microsoft Azure, Google Cloud, or other major technology vendors.
  • View similar jobs with this employer
    • Familiarity with automotive data and applications in pricing, inventory optimization, or recommendation systems.
    • Employee and Family Assistance program.
  • View similar jobs with this employer
    • Familiarity with automotive data and applications in pricing, inventory optimization, or recommendation systems.
    • Employee and Family Assistance program.
    • Own the digital analytics and measurement strategy for holtrenfrew.com, including KPI definitions, tracking requirements, data governance, data quality, and…
    • Collaborate with other partners, such as AIML scientists, data and business analysts, software engineers, data engineers, and application developers to develop…
    • Strong understanding of data modeling, metadata management, data governance, and analytics best practices.
    • Experience with cloud-based analytics platforms and…
    • Facilitate data landscape assessments to identify critical data, ownership, dependencies, and governance gaps.
    • Strong experience with PySpark for big data processing and PyTorch for deep learning model serving.
    • Data Stewardship : Confident working with structured and…
    • Strong expertise in data modeling, including graph-based data models.
    • Proven experience building and scaling big data platforms using technologies such as…
Get email updates for the latest Big Data jobs in Toronto, ON

By creating a job alert, you agree to our Terms . You can change your consent settings at any time by unsubscribing or as detailed in our terms.

People also searched:

data analyst

Career Resources:

Applied Science Manager III, RBKS AI
$222,800–$372,000 a year
Full-time

Job details

Here’s how the job details align with your profile.

Pay

$222,800–$372,000 a year

Job type

Full-time

Benefits

Pulled from the full job description
Paid time off
Vision care
Dental care
Profit sharing
RRSP

Full 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
Let Employers Find YouUpload Your Resume