The Amazon Retail Ad Service team is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, 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.
We are looking for engineers for a confidential new advertising program that will have significant strategic impact to the Amazon Ads business. You will work backwards from customers, collaborate with technical teams across Amazon Ads to design and implement solutions, and deeply analyze the results. You will also evangelize new features and communicate technical priorities to senior leadership. You will deal with some of the toughest and most inspiring challenges of your career as you invent a new value proposition, real time systems and big data paradigms, and scale for growth.
We are looking to hire for this role in Toronto.
Key job responsibilities Together with your scrum, you will prototype and develop new components using the latest event-driven and server-less technologies. You will develop both real time and petabyte scale big data systems working directly with different types of technology. You will design, launch, own and evolve software that serves both the interests of customers and advertisers. You'll work closely with our top notch team of scientists and economists to invent, build and try ML-based approaches to iterate on what works best.
A day in the life You will have a mix of designing and setting up new services, integrating with partner teams, and running spike efforts to plan future initiatives. There is lots to build and learn, so expect to drive multiple initiatives as you gain experience in the space.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- -1+ years of experience building or integrating AI/ML-powered features into production systems
- -Experience with large language models (LLMs), prompt engineering, or generative AI applications
- -Experience designing and deploying GenAI solutions (RAG architectures, fine-tuning, model evaluation)
- -Hands-on experience with Amazon Bedrock, SageMaker, or equivalent AI/ML platforms
- -Understanding of responsible AI principles and model safety/guardrails
- -Experience with AI-assisted development tools and workflows (e.g., CodeWhisperer/Kiro)
- -Experience building AI agents or multi-step reasoning systems
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 - 114,800.00 - 191,800.00 CAD annually