Software Development Engineer, Advertising

Description Orchestrating the selection of one out of tens of millions of ads, honoring advertiser targeting intent for hundreds of thousands of advertisers while ensuring great shopper experience for billions of shoppers millions of times per second on a latency of tens of milliseconds is not a trivial task. The demand retrieval team within the Amazon DSP organisation deals with this challenge, developing and operating machine learning models that match ad opportunities with the most relevant ads to deliver the right messages to the right customers at the right time. Key job responsibilities Work side by side with our scientists to deliver code changes impacting our ads stack Rapidly prototype and test many possible hypotheses/implementation alternatives in a high‑ambiguity environment, making use of both quantitative analysis and business judgement Work with very large datasets Integrate successful experimental results into large-scale, highly complex Amazon production systems capable of handling 100,000s of transactions per second at low latency Automate, monitor and self‑heal our systems A day in the life You will partner with our product teams, bringing your own ideas to the conversation and aligning on work, adjusting priorities based on business requirements and fast iteration on experiments.

You will work with scientists on rapid data gathering prototypes and analyses and represent the rigor of engineering in the conversation; you will engage with scientists, product and finance to align on the benefits of the proposed approach. You will help harmonise our product stack, enabling simple monitoring and self‑healing that allow us to do more with less through automation and rapid diagnostic tools. About the team The Demand Retrieval team is responsible for designing, implementing, deploying and operating machine learning models that match bid opportunities to ads demand based on performance, campaign delivery, and targeting objectives specified by advertisers.

We measure the success of our approaches based on offline experimentation and online metrics that measure the impact of our matching models on campaign KPIs (e.g.: cost per action, return on ads investment, budgets delivered, and targeting precision). Basic Qualifications Experience programming with at least one modern language such as Java, C++, or C# including object‑oriented design Experience (non‑internship) in professional software development Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems Preferred Qualifications Bachelor’s degree in computer science or equivalent Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Equal Opportunity Employer Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success.

We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.

Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. #J-18808-Ljbffr