Applied Scientist, Prime Video Sye Protocol team

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. 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 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. If this sounds exciting to you, please read on.

The Prime Video Sye Protocol team is looking for an Applied Scientist. This person will deliver features that automatically detect and prevent video quality issues before they reach millions of customers worldwide.

You will lead the design of models that scale to very large quantities of video data across multiple dimensions. You will embody scientific rigor, designing and executing experiments to demonstrate the technical effectiveness and business value of your methods. You will work alongside engineering teams to deliver your research into production systems that ensure premium streaming experiences for customers globally.

You will have demonstrated technical, teamwork and communication skills, and a motivation to deliver customer value from your research. Our team offers exceptional opportunities for you to grow your technical and non-technical skills and make a global impact.

Key job responsibilities
- Design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgement to solve complex video defect detection challenges.
- Collaborate with software engineers to integrate successful experimental results into Prime Video wide processes and production systems that operate at scale with minimal computational overhead.
- Communicate results and insights to both technical and non-technical audiences, including presentations and written reports to stakeholders across engineering, operations, and content teams.

A day in the life
Your typical day starts investigating overnight video quality alerts and developing breakthrough detection algorithms. You'll collaborate with engineering teams on production deployment, analyze video data to uncover quality patterns, and work with transformers and video language models.

About the team
You'll join a team focused on delivering premium video experiences through scientific innovation. We build machine learning systems that automatically detect video quality issues across our global streaming platform, collaborating closely with engineering, operations, and content teams to solve video analysis challenges while ensuring customers never experience poor quality.

Our team partners with leading universities to develop solutions and advance computer vision and machine learning techniques. We value scientific rigor whilst staying customer-focused, encouraging both innovative and practical solutions that scale globally. There are opportunities for high-impact publications and patent development that advance the entire field.

- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in building machine learning models for business application
- PhD, or a Master's degree and experience in CS, CE, ML or related field research, or equivalent relevant work experience

- Experience using Unix/Linux
- Experience in professional software development

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.

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