Applied Scientist, Sales AI – Amazon – Toronto, ON

Amazon Advertising is one of Amazon’s fastest-growing and most profitable divisions, and right now they’re building something truly exciting. A central AI/ML team within the Advertising Sales organization is seeking a talented Applied Scientist to join their Sales AI team in Toronto, Ontario. If you’re passionate about shaping the future of AI-driven sales intelligence and want to work at the cutting edge of Large Language Models, Reinforcement Learning, and Generative AI, this could be the opportunity you’ve been waiting for.

In this role, you’ll be at the heart of building autonomous AI agents designed to transform how account teams operate — streamlining end-to-end workflows, surfacing actionable insights, and delivering recommendations that genuinely move the needle for advertising accounts. You’ll be working alongside fellow scientists and engineers, iterating on ambitious long-term challenges with real business impact.

About the Role: Applied Scientist, Sales AI

As an Applied Scientist on the Sales AI team, your primary focus will be conceptualizing, building, and refining state-of-the-art AI models that power the advertising sales business. You’ll bring deep expertise across Natural Language Processing (NLP) — including tokenization, syntactic parsing, named entity recognition (NER), sentiment analysis, and text classification — as well as Large Language Models (LLMs), Deep Learning, and Recommender Systems. Your work will go from research to production, with continuous measurement and iteration driving ongoing improvements.

Beyond the science, you’ll be a key collaborator. You’ll partner closely with software engineering and product management teams to define success metrics and drive adoption of innovative features. Strong communication skills are essential — you’ll regularly translate complex technical findings into clear, compelling recommendations for stakeholders and senior leadership. Publishing scientific findings internally and externally is also part of the mandate.

Benefits and Salary

Amazon offers a competitive base salary range of $149,300 – $249,300 CAD annually for this position in Toronto, ON. As a total compensation company, the package may also include sign-on payments and Restricted Stock Units (RSUs), with final compensation determined by experience, qualifications, and location. Amazon provides a comprehensive benefits package including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), a Registered Retirement Savings Plan (RRSP), a Deferred Profit Sharing Plan (DPSP), generous paid time off, and additional resources to support health and well-being.

Responsibilities

This is a multifaceted role that blends scientific research, product development support, and cross-functional collaboration. Day-to-day, you’ll be advancing the frontier of AI agent technology within a fast-paced, high-impact environment where your work directly influences how Amazon’s advertising sales teams operate at scale.

• Conceptualize and lead state-of-the-art research on Reinforcement Learning, Deep Learning, NLP, LLM, Generative AI, and Recommender Systems to create AI agents and optimize ad sales workflows
• Design and implement successful models and algorithms, leading the technical approach for cross-functional teams on demanding projects
• Run A/B experiments, gather data, and perform rigorous statistical analysis to validate and improve model performance
• Improve scalability, efficiency, and automation of large-scale data analytics, model training, deployment, and serving
• Publish scientific findings in reports and papers for both internal and external audiences
• Partner with software engineering and product management to support product development, define success metrics, and drive adoption of new features
• Lead requirements gathering sessions with product teams and business stakeholders
• Translate complex scientific findings into actionable business recommendations for stakeholders and senior management
• Maintain scientific documentation and knowledge for product initiatives

Requirements / Skills

Amazon is looking for a highly skilled scientist who combines deep technical expertise in AI/ML with the ability to deliver production-ready solutions and communicate findings clearly. The ideal candidate thrives in ambiguous, large-scale problem spaces and has a track record of scientific innovation backed by real-world business application experience.

• 3+ years of experience building models for business applications
• PhD, or Master’s degree with 4+ years of experience in Computer Science, Computer Engineering, Machine Learning, or a related field
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Programming proficiency in Java, C++, Python, or a related language
• Expertise in at least one of: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing
• Experience with Unix/Linux environments (preferred)
• Professional software development experience (preferred)
• Familiarity with Machine Learning and LLM fundamentals — including architecture, training/inference lifecycles, and model optimization — is a strong asset

How to Apply

Ready to help shape the future of AI-powered advertising sales at one of the world’s most innovative companies? Submit your application directly through Amazon’s official careers portal. Be sure to highlight your research experience, relevant publications, and any hands-on work with LLMs or AI agents — these will set your application apart.

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