At a Glance
- Tasks: Develop and deploy customer-facing models to enhance Prime Video's user experience.
- Company: Join Amazon's innovative Prime Video Commerce Insights team in London.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Collaborate with top talent and contribute to cutting-edge research.
- Why this job: Make a real impact on how millions discover and engage with video content.
- Qualifications: Experience in machine learning, programming, and data analysis required.
The predicted salary is between 70000 - 90000 £ per year.
Job Overview
Come build the future of entertainment with us.
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies, with the convenience of finding what they love in one place.
Prime Video Commerce’s mission is to present the right offer to the right customer at the right time across subscriptions, channels, and transactional video worldwide.
We are looking for an Applied Scientist to join the Prime Video Commerce Insights team in London to develop and deploy customer‑facing models, understand customer behavior at scale, and explore emerging techniques that help us improve decisions faster.
A Day in the Life
You will be both a research leader and a hands‑on innovator.
You’ll collaborate with engineers and senior leaders to solve problems that are uniquely challenging at Amazon’s scale, personalising commerce decisions across multiple business lines and positively impacting hundreds of millions of customers worldwide.
Your research will ship to production and move metrics that matter.
Responsibilities
- Research, design, and implement recommendation systems that personalise across different customer experience touch points.
- Collaborate with engineers to deploy and integrate successful model experiment results into large‑scale, low‑latency production systems.
- Provide machine‑learning thought leadership to technical and business leaders, thinking strategically about product challenges.
- Act as a subject‑matter expert in reinforcement learning approaches and actively contribute to the science roadmap.
- Define the science roadmap and research agenda that aligns with organisational priorities and production constraints.
- Work with technical product managers to work backwards from customer priorities and deliver machine‑backed solutions.
- Report and share results with the team and wider scientific community by authoring documents that are statistically rigorous and compelling.
- About the Team
You will join a team of talented engineers and applied scientists with a proven track record of solving highly complex, ambiguous problems, producing patents and publications at top‑tier conferences.
The team collaborates across Commerce, Content, and Platform to shape how customers discover, subscribe to, and engage with video content.
- Basic Qualifications
- Experience in patents or publications at top‑tier peer‑reviewed conferences or journals.
- Experience programming in Java, C++, Python, or a related language.
- Experience in algorithms and data structures, parsing, numerical optimisation, data mining, parallel and distributed computing, or high‑performance computing.
- Experience building machine‑learning models for business application.
- Preferred Qualifications
- Experience using Unix/Linux.
- Experience in professional software development.
- Equal Opportunity Statement
Amazon is an equal‑opportunity employer.
We believe passionately that employing a diverse workforce is central to our success.
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Applied Scientist, Prime Video Commerce Insights in London employer: Amazon Science
Amazon Science in Edinburgh is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among talented professionals. With a strong focus on employee growth, you will have access to cutting-edge resources and opportunities to develop your skills in machine learning while contributing to impactful recruitment solutions on a global scale. The vibrant city of Edinburgh provides a unique backdrop for both personal and professional development, making it an ideal location for those seeking meaningful and rewarding employment.
