Applied Scientist, Sales Ai - C$149,300 - C$249,300 A Year

20 ott - Roma
Amazon

Are 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 important 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 actionable insights and recommendations they can share with their advertising accounts, and ingesting Generative AI throughout their end‑to‑end workflows to improve their work efficiency.Key Job ResponsibilitiesScientific ModelingConceptualize and lead state‑of‑the‑art research on new Machine Learning and Generative Artificial Intelligence solutions to 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 developmentDeep understanding of modeling frameworks that support sequential decision making such as Hidden Markov Models, Sequential Recommender Systems and Reinforcement LearningLocation: CAN, ON, Toronto - 149,300.00 - 249,300.00 CAD annually.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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.#J-18808-Ljbffr

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