Software Development Engineer, Bidding Experimentation and Science
Software Development Engineer, Bidding Experimentation and Science
Posted on :
23-05-2025
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1 Vacancy
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Job Description
Interested in working at the intersection of highscale engineering Machine Learning and Applied Science
At Amazon Advertising we are developing stateoftheart largescale computational advertising and realtime application. The Bidding and Pacing Engineering team develops algorithms and high performance largescale distributed systems to optimize ad selection bidding and campaign performance. Our systems process billions of ad impressions daily from across the internet to power our display advertising algorithms. Our engineers work with machine learning scientists economists and product managers on high impact initiatives for Amazons Display Advertising.
As an engineer on the team you will design and develop products that are at the heart of advertising products that determine how billions of impressions are allocated to advertisers and how much advertisers pay for those impressions. You will have responsibility to help define requirements create software designs implement code to these specifications define continuous integration testing and support products while deployed and used by our customers. You will have complete ownership of technology choices architecture A/B testing for your features code deployments into production environment and operations for the products you own. Your team will include Applied scientists product managers and other high performing engineers. Were looking for SDEs interested in developing realtime bid and optimization algorithms on large scale systems that process tens of billions of requests/ day.
Key job responsibilities
You will have responsibility to help define requirements create software designs implement code to these specifications define continuous integration testing and support products while deployed and used by our customers.
A day in the life
You will work closely with Applied Scientists Data Scientists Product Managers and high performing Software Engineers to simulate campaign optimization strategies and implement the strategies in large scale systems.
About the team
The team which is a part BEAM (Bidding Exchange Analytics and Modeling) builds campaign optimization strategies and Recommendations to deliver campaigns and to meet or exceed their performance objectives.
3 years of noninternship professional software development experience
2 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
3 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
Experience with Amazon Web Services
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129300/year in our lowest geographic market up to $223600/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.
At Amazon Advertising we are developing stateoftheart largescale computational advertising and realtime application. The Bidding and Pacing Engineering team develops algorithms and high performance largescale distributed systems to optimize ad selection bidding and campaign performance. Our systems process billions of ad impressions daily from across the internet to power our display advertising algorithms. Our engineers work with machine learning scientists economists and product managers on high impact initiatives for Amazons Display Advertising.
As an engineer on the team you will design and develop products that are at the heart of advertising products that determine how billions of impressions are allocated to advertisers and how much advertisers pay for those impressions. You will have responsibility to help define requirements create software designs implement code to these specifications define continuous integration testing and support products while deployed and used by our customers. You will have complete ownership of technology choices architecture A/B testing for your features code deployments into production environment and operations for the products you own. Your team will include Applied scientists product managers and other high performing engineers. Were looking for SDEs interested in developing realtime bid and optimization algorithms on large scale systems that process tens of billions of requests/ day.
Key job responsibilities
You will have responsibility to help define requirements create software designs implement code to these specifications define continuous integration testing and support products while deployed and used by our customers.
A day in the life
You will work closely with Applied Scientists Data Scientists Product Managers and high performing Software Engineers to simulate campaign optimization strategies and implement the strategies in large scale systems.
About the team
The team which is a part BEAM (Bidding Exchange Analytics and Modeling) builds campaign optimization strategies and Recommendations to deliver campaigns and to meet or exceed their performance objectives.
3 years of noninternship professional software development experience
2 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
3 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
Experience with Amazon Web Services
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129300/year in our lowest geographic market up to $223600/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.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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