Machine Learning Engineer, Sponsored Display

Want to build machine learning systems that impact hundreds of millions of customers worldwide? We are looking for outstanding Machine Learning Engineers to join the Audience Building teams within Amazon Ads. Audience Building enables advertisers to define the customers they want to engage based on shopping interactions, digital content consumption, and other events on Amazon via machine learning models and rule-based criteria. As a member of our Agile team you will have the opportunity to drive a key product in the Amazon Advertising targeting infrastructure. Your team will own the business, technology, and operations, giving you the responsibility and authority to ensure success. You will be involved in every aspect of the process - from idea generation, business analysis and technical design through to software development across a variety of technologies. Your systems will meet remarkably high standards of performance and reliability, and will operate at massive scale, 24x7. The position offers exceptional opportunities for every candidate to grow their technical and non-technical skills. If you are selected, you have the opportunity to really make a difference to our business by inventing, enhancing and building world class systems, delivering results, working on exciting and challenging projects. About the team Sponsored Display is Amazon's fastest growing ad product, helping businesses of all sizes to discover, reach, and engage relevant audiences along their shopping and entertainment journeys, on or off the Amazon store. We serve billions of personalized ads every day across the world. Our ads appear on the Amazon store, Twitch, IMDB and thousands of external websites and mobile apps. Machine learning models drive the selection, pricing and bidding for all our ads. In this role you will take technical leadership of our Machine Learning Engineering capability, helping us to train and serve state of the art neural networks on vast amounts of data and serve them at immense throughput with millisecond latency. You will optimize data pipelines, build and maintain model training infrastructure, and operate and optimize real-time model serving to support Sponsored Display worldwide. You will work with scientists to invent, optimize and launch next-generation machine learning models for some of the largest, highest throughput and lowest latency machine learning problems in the world. You will join a highly motivated, collaborative and fun-loving team with an entrepreneurial spirit and bias for action. The role will challenge you to think differently, hone your skills, and invent at scale. We're looking for engineers who obsess over technical details but can delight customers by continually learning and building the right products. You will help to invent the future of advertising.

• Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
• Experience in professional, non-internship software development
• Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
• Experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models.
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
  
  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.