Interested in working at the intersection of high-scale engineering Machine Learning and Applied Science
At Amazon Advertising we are developing state-of-the-art large-scale computational advertising and real-time application. The Bidding and Pacing Engineering team develops algorithms and high performance large-scale 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 are expected to work on both back-end and front-end technologies. 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 real-time 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. You should have prior experience on front-end technologies and willingness to work on front end interfaces.
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.
- 3 years of non-internship professional software development experience - 2 years of non-internship 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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