Applied Scientist II, Sponsored Products and Brands Agent

Amazon.com Inc.; Toronto; On-site; CAD 149,000 - 249,000; Full time

Benefits offered by this job

Health insurance

RRSP

DPSP

Paid time off

Well-being resources

Job summary

Amazon applies scientist II to the Sponsored Products and Brands Agent in Toronto. The team reimagines advertising through generative AI, bridging creativity with AI to transform the full advertising lifecycle across Amazon.

You will design and implement machine learning models, conduct applied research, and collaborate with engineering, product, and science teams to deploy scalable solutions for millions of advertisers.

Qualifications

• 3+ years of building models for business applications.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
• Experience using Unix/Linux.
• Experience in professional software development.

Responsibilities

• Design and implement ML models powering advertiser-facing AI experiences, ensuring scientific rigor from research through production deployment.
• Conduct applied research to extend or invent new approaches for complex advertising problems where no textbook solutions exist, working backwards from advertiser needs.
• Collaborate with engineering, product, and science teams to integrate solutions into large-scale production systems serving millions of advertisers.
• Analyze experimental results and system performance to identify improvement opportunities, balancing model complexity, latency, and business impact.
• Mentor other scientists, provide peer feedback on research, and contribute to the team's scientific roadmap and technical direction.

Skills

Java

C++

Python

Algorithms

Tools

Unix/Linux

Job description

Applied Scientist II, Sponsored Products and Brands Agent

The Sponsored Products and Brands team at Amazon Ads is re‑imagining advertising through generative AI technologies, transforming how millions of customers discover products and engage with brands across Amazon.com and beyond. We are bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle, from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

Key job responsibilities

• Design and implement machine learning models and algorithms that power advertiser-facing AI experiences, ensuring scientific rigor from research through production deployment.
• Conduct applied research to extend or invent new approaches for complex advertising problems where no textbook solutions exist, working backwards from advertiser needs.
• Collaborate with engineering, product, and science teams to integrate your solutions directly into large-scale production systems serving millions of advertisers.
• Analyze experimental results and system performance to identify improvement opportunities, making informed tradeoffs between model complexity, latency, and business impact.
• Mentor other scientists, provide peer feedback on research procedures and results, and contribute to the team's scientific roadmap and technical direction.

A day in the life

You start your morning reviewing experiment results from a model you recently launched, checking metrics and identifying areas for iteration. By mid-morning you're whiteboarding a new approach with fellow scientists and engineers, debating tradeoffs between model architectures. After lunch you write and test code for a prototype, then join a design review where you share your findings and gather feedback. You wrap up by drafting a short document outlining next steps for a research proposal you plan to share with the broader team.

About the team

Our team within Amazon Ads builds AI-powered systems that help advertisers succeed at scale. We develop personalized, context-aware guidance tools grounded in large language models and advanced reasoning frameworks, connecting advertisers with actionable insights across multiple surfaces. Our mission is to make advertising simpler and more effective for businesses of all sizes. We value scientific creativity, collaborative problem-solving, and shipping real solutions that reach millions of advertisers worldwide.

Basic Qualifications

• 3+ years of building models for business application experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development

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 (RSU). Final compensation will be determined based on factors including experience, qualifications, and location.

• health insurance (medical, dental, vision, prescription, basic life & AD&D insurance)
• Registered Retirement Savings Plan (RRSP)
• Deferred Profit Sharing Plan (DPSP)
• paid time off
• other resources to improve health and well-being

CAN, ON, Toronto - 149,300.00 - 249,300.00 CAD annually

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development

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 (RSU). Final compensation will be determined based on factors including experience, qualifications, and location.

• health insurance (medical, dental, vision, prescription, basic life & AD&D insurance)
• Registered Retirement Savings Plan (RRSP)
• Deferred Profit Sharing Plan (DPSP)
• paid time off
• other resources to improve health and well-being

CAN, ON, Toronto - 149,300.00 - 249,300.00 CAD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.