Applied scientist in AI

Amazon Science; Greater London; On-site; GBP 17,000 - 26,000; Part time

Benefits offered by this job

Mentor program

Networking events

Competitive salary

Internship programme

Job summary

Amazon Science in London is seeking an Applied Science Intern to lead the design and development of end-to-end systems for real-world AI applications.

You will collaborate with Amazon scientists, write technical white papers, create roadmaps, and deploy production-ready solutions, while the team pairs you with mentors to accelerate your research and impact.

Qualifications

• Are enrolled in a PhD in computer science, machine learning, engineering, or related fields.
• Experience programming in Java, C++, Python or related language.
• Speak, write, and read fluently in English.

Responsibilities

• Own the design and development of end-to-end systems for research to production impact.
• Write technical white papers, create roadmaps and drive production level projects.
• Collaborate with Amazon scientists and other interns to deploy solutions into production.
• Design new algorithms, models or technical solutions and test them in production environments.
• Work with cross-functional teams to solve complex business problems.

Skills

Java

C++

Python

Education

PhD candidate in Computer Science/ML/Engineering

Job description

Описание

We're building systems that turn research into real-world impact — ensuring flawless streaming for millions of Prime Video customers, shaping the future of AI-driven shopping with Rufus, advancing speech generation and conversational AI, optimizing large-scale infrastructure through intelligent observability, and transforming how people and jobs find each other. If this sounds interesting to you then we have a range of opportunities for you to explore.

Задачи

As an Applied Science Intern, you will own the design and development of end-to-end systems. You'll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon's customer focused culture. The ideal intern should have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. You'll spend your first weeks scoping your project with your mentor, then own the research and implementation end-to-end. Your work could involve building computer vision models that detect quality issues across Prime Video's content library, developing multimodal AI solutions that power Amazon's shopping assistant Rufus, creating automated reasoning tools that verify distributed systems at scale, engineering intelligent observability frameworks for large-scale infrastructure, or advancing recommendation models that connect people with the right jobs — depending on the team you're matched with.

Требования

• Are enrolled in a PhD in computer science, machine learning, engineering, or related fields
• Experience programming in Java, C++, Python or related language
• Speak, write, and read fluently in English
• Будет плюсом: Have publications at top-tier peer-reviewed conferences or journals; Experience in solving business problems through 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

Условия

• All of our internships offer a competitive salary
• Interns are paired with an experienced manager and mentor(s)
• Interns get invited to different intern program or office events
• Interns can build their professional and personal network with other Amazon Scientists
• Interns can potentially publish work at top tier conferences
• Start dates are available throughout the year for durations of between 3–6 months.
• Please note, each team has different start date and duration preferences — your recruiter will confirm the preferences of the team you're matched with prior to interviewing.
• Please note we do not offer remote internships.