DescriptionAre you interested in shaping the future of Advertising and B2B Sales? We are a growing team with an exciting AI‐first charter and need your passion, innovative thinking, and creativity to help take our products to new heights.Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically key to our businesses driving long‐term growth. We break fresh ground in product and technical innovations every day!Within the Advertising Sales organization, we are building a central AI/ML team and are seeking top Applied Science talent to help us build new, science‐backed services that drive success for our customers. Our goal is to transform the way account teams operate by creating AI agents that help optimize their end‐to‐end workflows, and developing actionable insights and recommendations they can share with their advertising accounts.As an Applied Scientist on the team with a specific focus on creating autonomous AI agents that can operate accurately at large scale, you will bring deep expertise in Natural Language Processing (inc. tokenization, syntactic parsing, named entity recognition (NER), sentiment analysis, text classification), Large Language Models (inc. foundation model fundamentals, post‐training, reward modeling, RAG, transformer architecture), Deep Learning, Reinforcement Learning and/or Recommender Systems. You have the scientific and technical skills to build and refine models that can be implemented in production and you continuously measure the performance of your system to drive continuous improvements. You will contribute to chart new courses with our ad sales support technologies, and you have the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers. You will be part of a team of fellow scientists and engineers taking on iterative approaches to tackle big, long‐term problems.



You are fluently able to leverage the latest Generative AI systems and services to accelerate and improve your work while maintaining high quality in your work outputs.Key job responsibilitiesScientific ModelingConceptualize and lead state‐of‐the‐art research on new Reinforcement Learning, Deep Learning, NLP, LLM, (Generative) Artificial Intelligence and Recommender System solutions to create AI agents and optimize all aspects of the Ad Sales businessLead the technical approach for the design and implementation of successful models and algorithms in support of expert cross‐functional teams delivering on demanding projectsRun regular A/B experiments, gather data, and perform statistical analysisImprove the scalability, efficiency and automation of large‐scale data analytics, model training, deployment and servingPublish scientific findings in reports and papers that can be shared internally and externallyProduct Development SupportPartner with software engineering and product management teams to support product and service development, define success metrics and measurement approaches, and help drive adoption of innovative new features for our services.Lead requirements gathering sessions with product teams and business stakeholdersMaintain scientific documentation and knowledge for product initiativesCollaboration & CommunicationWork closely with software engineers to deliver end‐to‐end solutions into productionTranslate complex scientific findings into actionable business recommendations for stakeholders and senior managementProvide clear, compelling reports and presentations on a regular basis with respect to your models and servicesCommunicate with internal teams to showcase results and identify best practices.About The TeamSales AI is a central science and engineering organization within Amazon Advertising Sales that powers selling motions and account team workflows via state‐of‐the‐art AI/ML services. Sales AI is investing in a range of sales intelligence models, including the development of advertiser insights,



recommendations and Generative AI‐powered applications throughout account team workflows.Basic Qualifications3+ years of building models for business application experiencePhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceExperience in patents or publications at top‐tier peer‐reviewed conferences or journalsExperience programming in Java, C++, Python or related languageExperience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‐performance computingPreferred QualificationsExperience using Unix/LinuxExperience in professional software developmentExperience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience programming with at least one modern language such as Java, C++, or C# including object‐oriented designAmazon 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 annuallyCompanyAmazon Development Centre Canada ULC #J-18808-Ljbffr

📌 Applied Scientist, Sales Ai (Toronto)
🏢 Amazon
📍 Toronto