Senior Applied Scientist, Automated Excellence

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 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 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.

Do you want to invent state of the art machine-learning algorithms to build innovative solutions that can improve the Prime Video experience for millions of users? If your answer is yes, then come and join us our Prime Video Automated Excellence organisation.

We are looking for a talented and ambitious team member with a passion for groundbreaking technology. Please join us and be part of this exciting, new and fast-growing project.

You will work in an agile team of scientists and engineers. As a scientist on the team, you will be involved in every aspect of the development lifecycle, from idea generation and scientific research to development and deployment of advanced models.

Our research themes include, but are not limited to: reinforcement learning, model-free reinforcement learning, deep reinforcement learning, optimisation and graph neural networks.

This role requires a pragmatic technical leader comfortable with ambiguity and capable of summarizing complex data and models through clear visual and written explanations. You will be an experienced machine learning scientist who has a track-record of taking inventions to production. You will be responsible for finding solutions to ambiguous and challenging scientific and engineering problems, as well as for supporting more junior scientists in the team.

You are passionate about using scientific research to deliver value to customers and are motivated to deliver results in a fast-paced environment. You will have experience with machine learning models, reinforcement learning, and the corresponding simulation environments. You will work with internal and external stakeholders, cross-functional partners, and end-users around the world at all levels.

Key job responsibilities

• Design and build scalable solutions using machine learning models that enable advanced and automated Prime Video app testing at scale.
• Research and implement novel reinforcement learning approaches to add value to the business.
• Collaborate with scientists, engineers and product managers to identify the highest-impact science projects to solve customer problems and formulate their corresponding technical solutions.
• Mentor junior scientists and interns.
• Collaborate with software engineering teams to integrate successful experimental results into Amazon's complex production systems
• Research the latest modeling techniques and stay current with advancements in the field.
• Work backwards from customer needs and use that information to make trade-offs between different modeling approaches.
• Contribute to the publications of the team’s results in international conferences and journals.

About the team
Our team is responsible for assessing Prime Video applications and upholding high quality standards to maximise customer experience. We are responsible for building mission-critical tools for the software development and release cycle of many Prime Video organisations. We do this by building innovative and fully automated tests for our applications by leveraging state-of-the-art computer vision and machine learning algorithms. Our tools will allow us to measure quality, performance and accessibility of the Living Room application in the same way as perceived by millions of our customers.

Basic Qualifications

• Experience programming in Java, C++, Python or related language
• Master's degree with applied research experience
• Experience of building machine learning models for business application

• PhD degree in Computer Science, Machine Learning, Applied Mathematics, Operations Research or a related field, or a Master's degree and equivalent work experience.
• Depth and breadth in state-of-the-art machine learning technologies.

Preferred Qualifications

• Practical experience applying machine learning to solving complex problems in an applied environment.
• Track-record of having developed novel algorithms and scientific results, e.g. publications in high impact scientific journals or conference proceedings.
• Proven track record in technically leading and mentoring scientists.
• Experience with deep learning libraries.
• Strong personal interest in learning, researching, and creating new technologies with high customer impact.
• Experience defining organizational research and development practices in an industry setting.
• Experience implementing algorithms, tailored to particular business needs and tested on large data sets.
• Excellent communication skills with both technical and non-technical audiences.
• Ability to work independently and as part of a diverse team.
• Ability to conduct research, consolidate material into succinct concepts, identify the ideas that are worthy of practical implementation, and develop and test prototype solutions.

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial +44 800 086 9884 (tel:+448000869884). If calling from Ireland, please dial +353 1800 851 489 (tel:+3531800851489).