Machine Learning Engineer, Video Quality AnalysisJob ID: 2692877 | Amazon Digital UK Limited
Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. Prime Video is a fast-paced, growth business - available in over 200 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do.
Our vision is to ensure customers (including Prime Video) experience the highest quality video as the service scales to content from any source, available on any device, anywhere. We develop industry-leading mechanisms that automatically and instantly detect video defects at any point in the video pipeline, from content origin to end users' devices. We use our expertise to advance the state-of-the-art in objective measures that can detect defects and predict our customer's perceptions of image and audio quality.
The solutions we're building are demanding. Collaborating with teams across Amazon and world-leading universities, we create novel algorithms to assess the presence of defects and overall video quality. This requires the use of the latest technologies across foundational models, transformer-based architectures, masked autoencoders, image processing, image analysis, computer vision, and machine learning. We need to optimize those algorithms to run accurately, efficiently, and quickly, ensuring reliable results are available as close to real-time as possible.
**Please Note: This is a 12-month Fixed-Term Contract**
Key Job ResponsibilitiesOur team develops detectors consisting of deep computer vision and Machine Learning (ML) techniques. Team members must conduct research and methods that can identify defects with high accuracy and low friction, optimizing for low latency and cost to operate for customers at scale. This requires depth of science application across all aspects of the ML lifecycle, including model training, optimization, experimentation, and maintenance. Lead engineers are also expected to have a strong understanding of statistics and math, combined with core SDE computer science skills that enable them to dive deep into algorithmic performance (e.g., data structures).
About the TeamThe team is based in Amazon's engineering center in London and consists of engineers with a variety of backgrounds, from seasoned Amazonian to newly hired; a mix of applied scientists, machine learning engineers, AWS experts, and generalists, but all of us are learning and growing. We work closely with other Prime Video engineering teams, including teams based on the US west coast and India as well as in London.
BASIC QUALIFICATIONSExperience contributing to the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systemsExperience programming with at least one modern language such as Java, C++, or C# including object-oriented designExperience in professional, non-internship software developmentMaster's degree in Machine Learning, Applied Mathematics, Operations Research, or a related field, or equivalent work experiencePREFERRED QUALIFICATIONSBachelor's degree in computer science or equivalentExperience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operationsExperience with developing and deploying Machine Learning Operations (MLOps) at scaleExperience with large scale foundational models and transformer-based architecture (GenAI)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.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Posted: October 23, 2024 (Updated 3 days ago)
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