Sr. Applied Scientist – Amazon – Toronto, ON
Location: Toronto, ON | Company: Amazon
Amazon Advertising Canada Inc. is seeking a Senior Applied Scientist to pioneer the next generation of agentic AI applications that support advertisers worldwide. This role focuses on designing intelligent systems that reason, plan, and act autonomously across complex advertising workflows—empowering millions of advertisers to create, optimize, and scale their campaigns with AI-driven insights.
If you are passionate about applied AI, large-scale systems, and generative models, this is an opportunity to work at the cutting edge of science and production—bringing novel architectures and methods into real-world use cases with massive impact.
About the Role: Sr. Applied Scientist
The Sr. Applied Scientist will design and optimize agentic architectures, fine-tune large language models, and develop evaluation pipelines for multi-step reasoning and safety. You’ll collaborate across science, engineering, and product teams to create intelligent guidance systems for advertisers—both conversational and proactive—that directly improve campaign performance and customer engagement.
This position requires expertise in reinforcement learning, preference optimization, and multi-agent orchestration, along with strong programming and distributed systems skills. As part of the Sponsored Products and Brands team, you’ll help shape the future of advertising technology at Amazon.
Benefits and Opportunities
- Opportunity to advance the state of agent-based AI at Amazon scale.
- Collaborative environment with scientists, engineers, and product leaders.
- High visibility role with direct customer impact across 1.6M+ advertisers.
- Access to Amazon’s vast datasets, compute infrastructure, and research ecosystem.
- Career growth opportunities in applied science and technical leadership.
Job Details
📌 Position: Senior Applied Scientist
🏢 Company: Amazon Advertising Canada Inc.
📍 Location: Toronto, ON (Canada)
💼 Category: Machine Learning Science
🆔 Job ID: 3103768
⏰ Employment Type: Full-Time
Key Responsibilities
- Lead science and engineering strategy for Sponsored Products agentic advertiser guidance.
- Design and implement advanced optimization techniques including fine-tuning, instruction tuning, and preference optimization (DPO/IPO).
- Develop agentic architectures (e.g., CoT, ToT, ReAct) integrating planning, tool use, and reasoning.
- Build datasets, tools, and evaluation pipelines for agent workflows, including safety benchmarks.
- Prototype multi-agent orchestration frameworks and workflows at production scale.
- Collaborate with engineering and product teams to deploy scientific innovations to customers.
- Stay up to date with the latest research in LLMs, RL, and agentic AI, applying findings to Amazon Ads.
Qualifications
- Basic: PhD, or Master’s + 6+ years applied research experience; 3+ years building ML models for business; proficiency in Java, C++, Python; deep learning/ML expertise.
- Preferred: Experience with scikit-learn, TensorFlow, PyTorch, Spark MLLib, Hadoop; strong distributed systems experience; proven record in applied AI and large-scale systems.
How to Apply
Ready to shape the future of AI-driven advertising? Apply directly via the Amazon Jobs portal:
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Job Summary & Tips for Applying
Application Tip: Highlight your contributions to applied AI projects, particularly in reinforcement learning, large language models, or agent frameworks. Provide examples of end-to-end deployments.
Interview Advice: Be prepared to discuss your technical depth in ML architectures, distributed training, and applied agentic AI, as well as your ability to work across science and engineering teams.
