Location
London

Hours
Full Time

About the Role
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, including Originals, Exclusive content, and live sports events. Members can also subscribe to add-on channels, rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video operates in over 240 countries and territories worldwide and is a fast-paced, growth business focused on innovating on behalf of customers.

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 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 by combining advances in agentic and generative AI, behavioural simulation, and causal inference to understand the impact of our decisions before they reach customers.

We are looking for an Applied Scientist specialising in reinforcement learning with strong machine learning skills to join the Prime Video Commerce Insights team. You will work on the latest research and machine learning to build scalable personalisation solutions, develop and deploy customer-facing models, understand customer behaviour at scale, and explore emerging techniques to improve decision-making speed and quality. This is a hands-on role in a high-performing, high-visibility multidisciplinary team based in the London office, focused on enhancing the customer experience for Prime Video and the wider Amazon organisation.

You will contribute to designing machine learning models that scale to large data volumes and serve low-latency recommendations to customers worldwide. You will apply scientific rigor in designing and executing experiments to demonstrate the technical efficacy and business value of your methods. Working alongside scientists and engineers who embody customer obsession, you will develop recommendation and decision systems that position Prime Video Commerce as a global leader in machine learning and personalisation. This role offers exceptional opportunities to grow both technical and non-technical skills.

Key Responsibilities
- Apply strong reinforcement learning skills to research, design, and implement personalised recommendation systems across customer experience touch points.
- Collaborate with engineers to deploy and integrate successful model experiments into large-scale, low-latency Amazon production systems.
- Provide machine learning thought leadership to technical and business leaders, thinking strategically about business, product, and technical challenges.
- Serve as a subject matter expert in reinforcement learning and actively contribute to the science roadmap.
- Define the science roadmap and research agenda aligned with organisational priorities and production constraints.
- Work with technical product managers to deliver machine-backed solutions that focus on customer priorities.
- Report and share results with the team and wider scientific community through statistically rigorous and relevant documentation exemplifying good scientific practice in a business environment.

A Day in the Life
You will be both a research leader and hands-on innovator within the Commerce Insights organisation. Collaborating with talented engineers and senior leaders, you will solve uniquely challenging problems at Amazon's scale: personalising commerce decisions across multiple business lines, balancing competing objectives, and positively impacting hundreds of millions of customers worldwide. The work involves technically deep challenges combining large-scale ML, causal reasoning, and behavioural modelling in a domain where every decision affects revenue and customer experience. Your research will ship to production and move key metrics.

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

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

About You
- Strong technical ability with a customer-first approach.
- Excellent teamwork and communication skills.
- Ability to think strategically about business, product, and technical challenges.
- Passionate about discovering, inventing, simplifying, and building innovative solutions.

Qualifications
- Preferred experience using Unix/Linux.
- Preferred experience in professional software development.