At a Glance
- Tasks: Design and develop innovative machine learning systems and algorithms.
- Company: Join Amazon, a leader in technology and innovation.
- Benefits: Competitive stipend, mentorship, networking events, and potential for publication.
- Other info: Internships available across EMEA, with diverse teams and growth opportunities.
- Why this job: Make an impact in cutting-edge fields like AI and robotics.
- Qualifications: Pursuing a Master's or PhD in relevant fields with programming skills.
The predicted salary is between 20000 - 30000 € per year.
Are you a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models and speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you!
Key Job Responsibilities
- 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 must have the ability to work with diverse groups of people and cross‑functional teams to solve complex business problems.
About The Team
Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews. Start dates are available throughout the year and durations can vary in length from 3‑6 months for full‑time internships. This role may be available across multiple locations in the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Jordan, Luxembourg, Netherlands, Poland, Romania, Spain, South Africa, UAE, and UK). Please note these are not remote internships.
Benefits
- All of our internships offer a competitive stipend/salary.
- Interns are paired with an experienced manager and mentor(s).
- Interns receive invitations to different events such as intern program initiatives or site events.
- Interns can build their professional and personal network with other Amazon Scientists.
- Interns can potentially publish work at top‑tier conferences each year.
Basic Qualifications
- Experience programming in Java, C++, Python or related language.
- Enrolled in a PhD or Master’s degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields.
Preferred Qualifications
- Have publications at top‑tier peer‑reviewed conferences or journals.
- Experience in designing experiments and statistical analysis of results.
- Experience implementing algorithms using toolkits and self‑developed code.
- Experience in solving business problems through machine learning, data mining and statistical algorithms.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
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.
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, including support for the interview or onboarding process, please visit our website for more information.
2026 Applied Scientist Intern, Amazon University Talent Acquisition in London employer: Amazon Science
Amazon is an exceptional employer for aspiring Applied Scientists, offering a dynamic work culture that fosters innovation and collaboration. Interns benefit from competitive stipends, mentorship from experienced professionals, and opportunities to publish their research at prestigious conferences, all while working in diverse teams across various EMEA locations. This internship not only enhances technical skills but also provides invaluable networking opportunities within the vibrant Amazon community.
StudySmarter Expert Advice🤫
We think this is how you could land 2026 Applied Scientist Intern, Amazon University Talent Acquisition in London
✨Tip Number 1
Network like a pro! Reach out to current or former interns at Amazon through LinkedIn. Ask them about their experiences and any tips they might have for landing the internship. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills, especially in programming languages like Python or Java. Practice explaining your projects and how they relate to machine learning or AI. We want to see your passion and expertise shine through!
✨Tip Number 3
Show off your projects! If you’ve worked on any relevant projects, whether in school or on your own, make sure to highlight them. Create a portfolio or GitHub repository to showcase your work. This is your chance to impress us with your hands-on experience!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Amazon team. Don’t miss out on this opportunity!
We think you need these skills to ace 2026 Applied Scientist Intern, Amazon University Talent Acquisition in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Applied Scientist Intern. Highlight relevant projects, skills in programming languages like Python or Java, and any experience with machine learning or data analysis. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your experiences make you a great fit for the internship. Be sure to mention any specific projects or research that relate to Amazon's work.
Showcase Your Projects:If you've worked on any relevant projects, whether in school or on your own, make sure to include them in your application. We love seeing practical applications of your skills, especially if they involve algorithms or models you've developed!
Apply Through Our Website:Don't forget to apply through our website! It's the best way to ensure your application gets into the right hands. Plus, you'll find all the details you need about the internship and the application process there.
How to prepare for a job interview at Amazon Science
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning, deep learning, and the specific technologies mentioned in the job description. Be ready to discuss your experience with programming languages like Java, C++, or Python, and how you've applied them in your projects.
✨Showcase Your Projects
Prepare to talk about any relevant projects or research you've done, especially those that involve designing algorithms or solving complex problems. If you have publications, be sure to mention them and explain their significance.
✨Practice Problem-Solving
Expect technical questions that assess your problem-solving skills. Practice coding challenges and be ready to explain your thought process as you work through them. This will demonstrate your ability to tackle real-world issues.
✨Cultural Fit Matters
Amazon values a customer-focused culture, so be prepared to discuss how you can contribute to this environment. Think about examples where you've worked in diverse teams and how you’ve collaborated to achieve common goals.
