Advertising at Amazon is a fast-growing business that spans across desktop, mobile, video, and connected devices. Amazon Worldwide Advertising enables advertisers to deliver several billion ad impressions everyday to a network of hundreds of thousands of third party publishers as well as Amazon’s owned and operated properties. Viewability and User Engagement (VUE) owns Amazon’s (1P) viewability measurement and Machine Learning model-based prediction of premium ad inventory.
Our team consists of JavaScript experts, Back-End engineers, Machine Learning engineers, and Data Scientists who are building technologies to capture viewability of ads, track user engagement with ads, detect fraudulent activity using client side pixels, predict probability of view and engagement at when a bid is placed. The team has very high visibility within the advertising organization and is very active in inventing new solutions to solve complex problems for Amazon and the digital advertising industry.
Key job responsibilities
We are looking for sharp and talented software engineers who are passionate about front-end technologies and/or AWS technologies and building solutions that are highly scalable, low latency, fault tolerant, cross browser compliant. As an SDE with the VUE team, you will
* leverage latest open source technologies and the latest AWS services to process billions of ad impressions,
* create solutions that enable efficient ML experimentation and training on distributed systems at incredible scale and speed,
* develop components of our client side metrics libraries that helps to capture essential user metrics while serving an impression, and
* see your software operate at internet scale, influence the design of key parts of infrastructure, and see how your solutions scale as Amazon’s advertising business continues to grow
- 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
- Bachelor's degree in computer science or equivalent
- GenAI development, ML operations, big data analytics skills (SQL, PySpark, etc.)
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