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- Tasks: Develop machine learning algorithms for personalised recommendations and collaborate with teams globally.
- Company: Join Amazon's Prime Video team, shaping the future of entertainment for millions worldwide.
- Benefits: Enjoy a dynamic work environment, opportunities for growth, and the chance to make a global impact.
- Why this job: Be at the forefront of innovation in entertainment, working on exciting projects with cutting-edge technology.
- Qualifications: Master's degree in a quantitative field and experience in programming and machine learning required.
- Other info: This role offers hands-on experience in a fast-paced, collaborative setting.
The predicted salary is between 42000 - 84000 £ per year.
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 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
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 ( 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 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: A2957029
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Research, Science, and Engineering
-
Industries
Entertainment Providers
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Senior Applied Scientist, Insights, Prime Video employer: Prime Video & Amazon MGM Studios
Contact Detail:
Prime Video & Amazon MGM Studios Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Scientist, Insights, Prime Video
✨Tip Number 1
Familiarise yourself with the latest trends in generative AI and large models. This role requires a strong understanding of these technologies, so being able to discuss recent advancements or projects you've worked on will set you apart during interviews.
✨Tip Number 2
Network with current or former employees of Prime Video or Amazon. Engaging with them can provide valuable insights into the company culture and expectations, which can help you tailor your approach when discussing your fit for the role.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills in high-ambiguity environments. Think of examples from your past experiences where you successfully navigated uncertainty and how you applied both quantitative analysis and business judgement.
✨Tip Number 4
Brush up on your communication skills, especially in conveying complex technical concepts to non-technical audiences. Being able to present your findings clearly and effectively will be crucial in this role, so practice explaining your work in simple terms.
We think you need these skills to ace Senior Applied Scientist, Insights, Prime Video
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, programming languages like Python or Java, and any work with large-scale data systems. Emphasise your hands-on experience with generative AI and your ability to communicate complex ideas clearly.
Craft a Compelling Cover Letter: In your cover letter, express your passion for shaping the future of entertainment through technology. Mention specific projects or experiences that demonstrate your skills in developing machine learning algorithms and collaborating with cross-functional teams.
Showcase Your Technical Skills: Include a section in your application that lists your technical proficiencies, particularly in neural deep learning methods and tools like TensorFlow or scikit-learn. Provide examples of how you've applied these skills in previous roles.
Prepare for Interviews: Anticipate questions related to your experience with machine learning models and your approach to problem-solving in high-ambiguity environments. Be ready to discuss your past projects and how they align with the goals of Prime Video's Insights team.
How to prepare for a job interview at Prime Video & Amazon MGM Studios
✨Showcase Your Technical Skills
As a Senior Applied Scientist, you'll need to demonstrate your expertise in machine learning and programming languages like Python or Java. Be prepared to discuss specific projects where you've successfully implemented algorithms or models, and how they impacted the business.
✨Prepare for Problem-Solving Questions
Expect to face high-ambiguity scenarios during the interview. Practice articulating your thought process when tackling complex problems, especially those related to generative AI and large datasets. Use examples from your past experiences to illustrate your approach.
✨Communicate Clearly with Diverse Audiences
You'll need to convey technical concepts to both technical and non-technical stakeholders. Prepare to explain your research and findings in simple terms, and consider using visual aids or examples to enhance understanding during your discussions.
✨Demonstrate Team Collaboration
Collaboration is key in this role, so be ready to share experiences where you've worked effectively within a team. Highlight instances where you contributed to cross-functional projects, particularly those that involved integrating machine learning solutions into production systems.
