Applied Scientist II, Sponsored Products and Brands Agent
Amazon is hiring an Applied Scientist II, Sponsored Products and Brands Agent in Toronto, Canada. It pays CAD 149k-CAD 249k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this applied scientist role Builds AI ●●●●: the job is building AI systems.
- Level classes it as a mid-level role.
- Amazon has 20,000+ other open roles on Level.
- Posted in the last few days.
AI in this role
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 (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 - 149,300.00 - 249,300.00 CAD annually
How we rate this
Applied Scientist II, Sponsored Products and Brands Agent at Amazon rates 84 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Also common in applied scientist jobs at this level
Pay
- Typical applied scientist job
- $172k
Use the typical applied scientist figure as a reference when pay comes up. See applied scientist jobs
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new applied scientist jobs (Builds AI ●●●●) by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Research roles that build AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step