Are you interested in shaping the future of Advertising and B2B Sales We are a growing science and engineering team with an exciting 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 science talent to build new science-backed services to 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 a part of our team you will bring deep expertise in quantitative modeling (forecasting recommender systems reinforcement learning causal inferencing or generative artificial intelligence) to build and refine models that can be implemented in production. You will be a thought leader as we 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. As a senior lead you will have the excitement to take iterative approaches to tackle big long-term problems.
Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazons Retail and Marketplace businesses. We deliver billions of ads impressions millions of clicks daily and break fresh ground to create world-class products. We are a highly motivated collaborative and fun-loving team with an entrepreneurial spirit with a broad mandate to experiment and innovate.
Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences; this is your opportunity to work within the fastest growing businesses across all of Amazon! Define a long-term scientific vision for our advertising sales business driven from our customers needs translating that direction into specific plans for scientists engineers and product teams. This role combines scientific leadership organizational ability technical strength product focus and business understanding.
Key job responsibilities
- 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
- Guide the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects
- Conduct deep data analysis to derive insights to the business and identify gaps and new opportunities
- Run regular A/B experiments gather data and perform statistical analysis
- Work closely with software engineers to deliver end-to-end solutions into production
- Improve the scalability efficiency and automation of large-scale data analytics model training deployment and serving
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.
- 5 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.