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 technical and business leaders, strategically addressing business, product, and technical challenges.
- Be a subject matter expert in reinforcement learning, actively contributing 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 rigorous and compelling documents.
- Ship research to production, moving metrics that matter.
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 high‑scale, deeply technical problems such as personalising commerce decisions across multiple business lines and balancing competing objectives. Your work will ship to production and impact metrics that matter for hundreds of millions of customers worldwide.
About the Team
Our team consists 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 collaborates across Commerce, Content, and Platform to shape how customers discover, subscribe to, and engage with video content.
Qualifications
- Strong technical ability, customer‑first mindset, and excellent teamwork and communication skills.
- Experience in patents or publications at top‑tier peer‑reviewed conferences or journals.
- Programming experience in Java, C++, Python, or a related language.
- 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 application.
Preferred Qualifications
- Experience using Unix/Linux.
- Professional software development experience.
Equal Opportunity Employer
Amazon is an equal opportunities employer. We believe employing a diverse workforce is central to our success. We make recruiting decisions based on experience and skills. 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.
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