Applied Scientist, Sales AI

Amazon


Job Location:

Seattle, OR - USA

Monthly Salary: Not Disclosed
Posted on: 13 days ago
Vacancies: 1 Vacancy

Job Summary

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 Amazons 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.

As an Applied Scientist on the team you will bring deep expertise in modeling dynamic systems using statistical methods and deep learning and in optimizing those systems using reinforcement learning and operations research. You have the scientific and technical skills to build and refine models that can be implemented in production and you leverage natural language processing and generative AI to enhance their explainability. You will 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 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 outputs.


Key job responsibilities
Scientific Modeling
- Conceptualize and lead state-of-the-art research on new Machine Learning and Generative Artificial Intelligence solutions to optimize all aspects of the Ad Sales business
- Lead the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects
- Run regular A/B experiments gather data and perform statistical analysis
- Improve the scalability efficiency and automation of large-scale data analytics model training deployment and serving
- Publish scientific findings in reports and papers that can be shared internally and externally
Product Development Support
- Partner 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 stakeholders
- Maintain scientific documentation and knowledge for product initiatives
Collaboration & Communication
- Work closely with software engineers to deliver end-to-end solutions into production
- Translate complex scientific findings into actionable business recommendations for stakeholders and senior management
- Provide clear compelling reports and presentations on a regular basis with respect to your models and services
- Communicate with internal teams to showcase results and identify best practices.

About the team
Sales 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 of 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.

- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing

- Experience using Unix/Linux
- Experience in professional software development

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA SEATTLE - 142800.00 - 193200.00 USD annually


Required Experience:

IC

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 Amazons fastest growing and most profitable bus...

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