Applied Scientist, Prime Video Commerce Insights

Applied Scientist, Prime Video Commerce Insights

Job ID: Amazon Development Centre (London) Limited

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 thousands of popular movies and TV shows from Originals and exclusive content to exciting live sports events. Members also can subscribe to add on channels, rent or buy new release movies and TV box sets. Prime Video is a fast paced, growing business available in over 240 countries and territories worldwide.

The Prime Video Commerce mission is to present the right offer to the right customer at the right time across subscriptions, channels, and transactional video in every market and on every device. Our science team replaces static business rules with ML driven decisions that personalise the entire commerce journey, from discovery through checkout and beyond. We operate at scale across hundreds of millions of customers and are expanding into new frontiers-combining advances in agentic and generative AI, behavioural simulation, and causal inference to understand the impact of our decisions before they reach customers.

Key job 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, complex Amazon production systems with low latency.
• Provide machine learning thought leadership to both technical and business leaders, with the ability to think strategically about business, product, and technical challenges.
• Be a subject matter expert in reinforcement learning approaches for the team and actively contribute to the science roadmap.
• Define the science roadmap and research agenda that aligns with the organisation's priorities and production constraints.
• Work with technical product managers to work backwards from what is important to customers and deliver machine backed solutions.
• Report and share results with the team and the wider scientific community by authoring documents that are both statistically rigorous and compellingly relevant, exemplifying good scientific practice in a business environment.

A day in the life

You will be both a research leader and a hands on innovator within the Commerce Insights organisation. You'll collaborate with talented engineers and senior leaders to solve problems uniquely challenging at Amazon's scale: personalising commerce decisions across multiple business lines, balancing competing objectives across offerings, and positively impacting hundreds of millions of customers worldwide. The problems here are technically deep-combining large scale ML, causal reasoning, and behavioural modelling in a domain where every decision carries real revenue and customer experience consequences. Your research will ship to production and move metrics that matter.

About the team

You'll join a team of great engineers and applied scientists with a proven track record of solving highly complex, ambiguous problems. The team has produced patents and publications at top tier conferences and has direct visibility to senior Prime Video leadership. Collaborating broadly across Commerce, Content, and Platform teams, the team shapes how customers discover, subscribe to, and engage with video content. This is a team that operates at the intersection of rigorous research and real world impact, where ideas move from whiteboard to production for hundreds of millions of customers.

Basic Qualifications

• Experience in patents or publications at top tier peer reviewed conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms and data structures, parsing, numerical optimisation, data mining, parallel and distributed computing, high performance computing.
• Experience building machine learning models for business applications.

Preferred Qualifications

• Experience using Unix/Linux.
• Experience in professional software development.

Amazon is an equal opportunity employer. We believe passionately that a diverse workforce is central to our success. We make recruiting decisions based on experience and skills. 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, please visit the accommodations page for more information.