Senior Software Development Engineer - Machine Learning Amazon Advertising - Sponsored Products

Amazon Ads Response Prediction team is your choice if you want to join a highly motivated collaborative and funloving team with a strong entrepreneurial spirit and bias for action. Were in search of a seasoned Machine Learning Engineer possessing a profound inclination for innovation at the nexus of customer experience deep learning and largescale machinelearning systems. This role will spearhead the technical trajectory of ML solutions working tirelessly to enhance their efficacy reliability and scalability.

Amazon Advertising functioning at the convergence of eCommerce and advertising is fervently investing in the development of an unrivaled advertising business. We are the architects of an array of selfservice performance advertising products that catalyze product discovery and sales. Our offerings are strategically crucial to our Retail and Marketplace businesses propelling enduring growth. We serve billions of ad impressions and millions of clicks daily pioneering new territories to create worldclass products that amplify the experience of both shoppers and advertisers. Endowed with a broad mandate to experiment and innovate were growing at an exceptional pace opening up an infinite array of opportunities.

Were seeking a senior Software Engineer with Machine Learning knowledge for our Sponsored Products Ad Response Prediction team to elevate our business to new heights. Our mission is to deliver superior realtime machine learning services connecting shoppers with perfectlymatched ads across all platforms and surfaces globally. By developing a profound understanding of shoppers and products we help shoppers uncover products theyll adore provide the most efficient platform for advertisers to reach their customers and enable Amazon to continually innovate for the benefit of all its customers. As a SDE ML you will operate across various technologies within the organization. Your responsibilities will include designing coding troubleshooting and supporting scalable machinelearning pipelines and online serving systems. Youll also work with implementing endtoend ML solutions and optimizing their performance. Beyond being a passionately motivated individual contributor youll also mentor junior engineers guiding them to realize their full potential.

Key job responsibilities
Key job responsibilities
Contribute to the technical direction of our offerings and solutions
Work with many different technologies across the sponsored products organization.
Collaborate with experienced crossdisciplinary Amazonians to conceive design and bring innovative products and services to market.
Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
Build distributed storage index and query systems that are scalable faulttolerant low cost and easy to manage/use.
Design code troubleshoot and support scalable machinelearning pipelines and online serving systems.
Work closely with applied scientists to optimize the performance of machinelearning models and infrastructure and implement endtoend solutions.

5 years of noninternship professional software development experience
5 years of programming with at least one software programming language experience
5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience as a mentor tech lead or leading an engineering team

5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Bachelors degree in computer science or equivalent

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.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151300/year in our lowest geographic market up to $261500/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.