Senior Applied Scientist, Insights, Prime Video

Description

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?Description

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 Insights team is looking for an Applied Scientist for our London office experienced in generative AI and large models. This is a hands-on role with Prime Video wide impact working with development teams across the UK, India, and the US. This greenfield project will deliver features that reduce the operational load for internal Prime Video builders and for this, you will need to develop personalized recommendations for their services.

You will lead the design of machine learning models that scale to very large quantities of 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 other scientists and engineering teams to deliver your research into production systems.

Successful candidates will have strong technical ability, excellent teamwork and communication skills, and a strong motivation to deliver customer value from their research. Our position offers exceptional opportunities for every candidate to grow their technical and non-technical skills and make a global impact immediately.

Key job responsibilities

Develop machine learning algorithms for high-scale recommendations problems.Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgement.Collaborate with software engineers to integrate successful experimental results into Prime Video wide processes.Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports.

About The Team

Our team owns Prime Video observability features for development teams. We consume PBs of logs daily which feed into multiple observability features focussed on reducing the customer impact time. In 2025, we are expanding our remit to consume data from more sources to provide more holistic observability for our development teams.

Basic Qualifications

Master''s degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative fieldExperience programming in Java, C++, Python or related languageExperience with neural deep learning methods and machine learningExperience in building machine learning models for business applicationExperience in applied research

Preferred Qualifications

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.Experience with large scale distributed systems such as Hadoop, Spark etc.PhD

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company

- Amazon Development Centre (London) Limited

Job ID: A2957029Seniority level

Seniority level Mid-Senior levelEmployment type

Employment type Full-timeJob function

Job function Research, Science, and EngineeringIndustries Entertainment ProvidersReferrals increase your chances of interviewing at Prime Video and Amazon MGM Studios by 2xGet notified about new Applied Scientist jobs in

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