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 with excellent growth opportunities.
- 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, and 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 employer: Amazon Science
Amazon Science is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for aspiring machine learning professionals. Interns benefit from hands-on experience in a dynamic environment, mentorship from leading experts, and the chance to contribute to cutting-edge AI projects in Greater London, all while enjoying a competitive salary and opportunities for personal and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Applied ML Scientist Intern: Build Production AI
✨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. Whether it's algorithms you've designed or papers you've written, having tangible evidence of your work can really impress during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. Focus on technical questions related to AI and machine learning, as well as behavioural questions to show your collaborative spirit.
✨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 seen by the right people and increases your chances of landing that internship.
We think you need these skills to ace Applied ML Scientist Intern: Build Production AI
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 written!
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 on seeing your technical prowess, so don’t hold back on the details!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and keep track of all the amazing candidates like you!
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 readiness for the role.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of AI concepts. Practice explaining complex ideas clearly and concisely, as you'll need to communicate effectively with both technical and non-technical team members.
✨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 ability to contribute and learn from others.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team, projects, or company culture. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
