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Applied Scientist, Computer Vision , Video Quality Analysis (VQA)

Job ID: 1741957 | Amazon Digital UK Limited

DESCRIPTION

Job summary
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 from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 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. If this sounds exciting to you, please read on.

We are looking for a Senior Applied Scientist to join the Video Quality Analysis (VQA) team. In this role you will leverage your strong background in Computer Vision and Machine Learning to help build the next generation of automated audio/video analysis at Amazon scale. Our business growth exceeds the capacity for people to monitor 1000s of global broadcast channels, 50,000+ annual live events across a wide variety of video formats, encoder profiles and monitoring points. We need to teach computers to automate that job for us so our customers always have the best possible experience. This role requires a pragmatic technical leader comfortable with ambiguity, capable of delivering and summarizing complex data and modelsthrough clear visual and written explanations. The ideal candidate will have experience with machine learning models and audio/video/image processing domain experience. Additionally, we are seeking candidates with strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.

You will work as part of one of our Agile teams, launching and growing new initiatives for Amazon's global business. As an applied scientist, you will be involved in every aspect of the process - from research, idea generation, and data analysis through to development and deployment across a variety of technologies - giving you true ownership on the future of our products. Together we take on hard technical problems, and build systems which meet high standards of performance and operate at massive scale.

Amazon is a place where we use science and engineering to solve problems. We're looking for scientists and engineers who can delight customers by continually learning and inventing. From day one, you'll be working with experienced engineers, machine learning experts and other applied scientists who love what they do.




BASIC QUALIFICATIONS

· Experience programming in Java, C++, Python or related language
· Master's in Computer Science, Mathematics, Machine Learning, or related quantitative field
· Working knowledge of computer vision/image processing and audio/video technology
· At least one publication, as first author, in a leading conference or journal related to machine learning.
· Theoretical understanding of broad machine learning concepts, with deep and demonstrable expertise in at least one topic or application of machine learning.

PREFERRED QUALIFICATIONS

· A PhD in CS, Machine Learning or in a highly quantitative field.
· Hands-on experience with popular deep learning frameworks such as MxNet and Tensor Flow.
Prior work experience as an applied scientist or engineer at a technology company
· Experience with digital signal processing and/or video compression.



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 objective criteria including your experience and skills. We value your passion to discover, invent, simplify and build. We welcome applications from all sections of society irrespective of belief colour, race, religion or belief, nationality, ethnic or national origin, gender, gender reassignment, sexual orientation, sex, marital status, disability, age or trade union membership. Please let us know if you have any special requirements in relation to this recruitment process. All offers are conditional on references, verification of the right to work in the UK, and successful background screening check. This will include previous employment verification, qualification verification (if relevant) and a basic criminal check. Further details of this policy/procedure will be sent to you along with your conditional offer.



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 to know more about how we collect, use and transfer the personal data of our candidates.