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Amazon Machine Learning Engineer Sponsored Display 
United Kingdom, England, London 
967204928

14.08.2024
DESCRIPTION

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.

BASIC QUALIFICATIONS

- 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