Applied Scientist SB Response Prediction and Auction Science Team

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. Amazon Advertising is at the forefront of shaping the future of advertising technology and our Auction team in Sponsored Brands is pivotal in driving this innovation.

SB Auction teams role is to develop optimized and fair auction systems for sponsored brands that deliver value for advertisers while enhancing the shopping experience for customers. We collaborate with different teams across the Amazon Ads to build scalable online and offline ML infrastructure systems to accelerate science innovations facilitate business growth and promote technology innovation.

Key job responsibilities

As an Applied Scientist on this team you typically play a key role in optimizing ad delivery improving targeting accuracy and maximizing revenue generation for advertisers all while maintaining a seamless user experience you will:

Develop optimization techniques (e.g. multiobjective optimization) to balance multiple goals such as maximizing revenue for advertisers increasing user engagement and maintaining fair ad distribution.
Build machine learning models perform proofofconcept experiment optimize and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
Run A/B experiments finetune the models for realworld effectiveness ensuring that the ad auction system works optimally in production environments.
Run largescale experiments to test different auction strategies bidding algorithms and ad targeting techniques using methodologies like multiarm bandit or reinforcement learning.
Establish scalable efficient automated processes for largescale data analysis machinelearning model development model validation and serving
Communicate results and insights clearly to nontechnical stakeholders including product managers advertisers and executives helping them understand the impact of datadriven decisions.
Research new and innovative machine learning approaches.

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 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 highperformance computing

1. Knowledge of optimization algorithms for multiobjective problems (e.g. gradient descent linear programming).
2. Strong background in probability theory game theory and auction theory (important for designing competitive auction systems).
3. Proficiency in reinforcement learning particularly for decisionmaking problems like bidding strategies and auction design.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.