Senior Applied Scientist Insights Prime Video
Senior Applied Scientist Insights Prime Video
Posted on :
23-04-2025
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1 Vacancy
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Job 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 addon 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 fastpaced 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 handson 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 nontechnical skills and make a global impact immediately.
Key job responsibilities
Develop machine learning algorithms for highscale recommendations problems.
Rapidly design prototype and test many possible hypotheses in a highambiguity 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 nontechnical 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.
Masters degree in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience in building machine learning models for business application
Experience in applied research
Experience with modeling tools such as R scikitlearn 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 to know more about how we collect use and transfer the personal data of our candidates.
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.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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 addon 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 fastpaced 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 handson 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 nontechnical skills and make a global impact immediately.
Key job responsibilities
Develop machine learning algorithms for highscale recommendations problems.
Rapidly design prototype and test many possible hypotheses in a highambiguity 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 nontechnical 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.
Masters degree in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience in building machine learning models for business application
Experience in applied research
Experience with modeling tools such as R scikitlearn 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 to know more about how we collect use and transfer the personal data of our candidates.
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.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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