Internship
TL;DR
Key Takeaways
- PhD internship in Applied Science focusing on developing state-of-the-art solutions for real-world impact.
- Work on projects such as AI-driven shopping, computer vision for video quality, and large-scale system optimization.
- Competitive salary offered.
- Applications reviewed on a rolling basis with start dates throughout the year.
- Opportunities available in multiple EMEA locations, including the UK.
About the Role
We are seeking PhD students across multiple research domains to invent, design, and implement state-of-the-art solutions for complex problems. Your work will be deployed into production and reach customers worldwide.
Key Job Responsibilities
As an Applied Science Intern, you will:
- Own the design and development of end-to-end systems.
- Write technical white papers, create roadmaps, and drive production-level projects.
- Work closely with Amazon scientists and other interns to develop and deploy solutions.
- Design new algorithms, models, or other technical solutions.
- Experience Amazon's customer-focused culture.
- Work with diverse groups and cross-functional teams to solve complex business problems.
A Day in the Life
Your internship will involve scoping your project with your mentor, followed by owning the research and implementation end-to-end. Your work could include:
- Building computer vision models for Prime Video content quality analysis.
- Developing multimodal AI solutions for Amazon's shopping assistant Rufus.
- Creating automated reasoning tools for distributed systems verification.
- Engineering intelligent observability frameworks for large-scale infrastructure.
- Advancing recommendation models for job matching.
Many interns publish at top-tier conferences or see their work deployed to production before the internship ends. Interns may also be considered for a return offer.
Benefits
- Competitive salary
- Paired with an experienced manager and mentor(s)
- Invitation to intern program or office events
- Opportunity to build professional and personal networks
- Potential to publish work at top-tier conferences
About the Teams
We are hiring interns for multiple teams in the UK, including:
- Prime Video Video Quality Analysis: Develops AI/ML solutions using computer vision, audio processing, and generative AI for streaming quality issues.
- Rufus Features Science UK: Shapes AI-driven shopping experiences, working on Rufus's capabilities and multimodal answers.
- READI (Observability, Triage & Peak Readiness): Builds intelligent log analytics and automated performance frameworks for large-scale distributed systems.
- Automated Reasoning Group: Ensures program and systems correctness through formal verification and runtime monitoring.
Application Process
- Submit a single application; you will be matched with science teams based on your research interests.
- Applications are reviewed on a rolling basis.
- Start dates are available throughout the year for durations of 3–6 months.
- Internships are offered in multiple locations across the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Jordan, Luxembourg, Netherlands, Poland, Romania, South Africa, Spain, Sweden, UAE, and UK).
- Remote internships are not offered.
Basic Qualifications
- Enrolled in a PhD in computer science, machine learning, engineering, or related fields.
- Experience programming in Java, C++, Python, or a related language.
- Fluent in English (speak, write, and read).
Preferred Qualifications
- Publications at top-tier peer-reviewed conferences or journals.
- Experience solving business problems with machine learning, data mining, and statistical algorithms.
- Experience in designing experiments and statistical analysis of results.
- Experience implementing algorithms using toolkits and self-developed code.