At a Glance
- Tasks: Design algorithms and write technical papers while collaborating with top scientists.
- Company: Join Amazon Science, a leader in machine learning and AI innovation.
- Benefits: Enjoy a competitive salary, mentorship, and hands-on experience in a dynamic environment.
- Other info: Full-time internship in Greater London for 3 to 6 months.
- Why this job: Make an impact in AI and machine learning while advancing your career.
- Qualifications: Ideal for PhD or Master’s students with a passion for machine learning.
The predicted salary is between 20000 - 30000 € per year.
Amazon Science is seeking a motivated intern for a 2026 internship focused on machine learning, AI, and more. Ideal for PhD or Master’s students, the role involves:
- Designing algorithms
- Writing technical papers
- Collaborating with scientists
Interns will work full-time for 3 to 6 months, gain mentorship, and enjoy a competitive salary. This position is on-site in Greater London, offering an opportunity to advance in a diverse environment.
Applied ML Scientist Intern: Build Production AI in London employer: Amazon Science
Amazon Science is an exceptional employer, providing interns with a unique opportunity to immerse themselves in cutting-edge machine learning and AI projects within a vibrant and diverse environment in Greater London. With a strong emphasis on mentorship and professional growth, interns can expect to develop their skills while contributing to innovative research, all while enjoying a competitive salary and the chance to collaborate with leading scientists in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Applied ML Scientist Intern: Build Production AI in London
✨Tip Number 1
Network like a pro! Reach out to current or former interns at Amazon Science on LinkedIn. Ask them about their experiences and any tips they might have for landing the role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, algorithms you've designed, or any technical papers you've written. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to AI and machine learning. Use mock interviews with friends or online platforms to refine your answers and boost your confidence.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on our platform. It’s the best way to ensure your application gets noticed and shows your enthusiasm for the role.
We think you need these skills to ace Applied ML Scientist Intern: Build Production AI in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in machine learning and AI. We want to see how your skills align with the role, so don’t be shy about showcasing your projects and any technical papers you've worked on!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this internship and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills:Since this role involves designing algorithms, make sure to mention any programming languages or tools you're proficient in. We’re keen to know how you’ve applied these skills in real-world scenarios, so include specific examples!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Amazon Science
✨Know Your Algorithms
Make sure you brush up on the key machine learning algorithms and their applications. Be ready to discuss how you've used them in your projects or studies, as this will show your practical understanding and ability to apply theory to real-world problems.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of AI concepts. Practice explaining complex ideas clearly and concisely, as you might need to communicate these concepts to non-technical team members during your internship.
✨Show Your Collaborative Spirit
Since the role involves working with scientists, be prepared to discuss your experience in teamwork and collaboration. Share examples of how you've successfully worked in groups, highlighting your communication skills and adaptability.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask thoughtful questions about the team, projects, and company culture. This shows your genuine interest in the role and helps you determine if it's the right fit for you.
