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- Tasks: Develop AI solutions and collaborate on innovative projects that impact millions.
- Company: Join Amazon, a leader in technology and customer obsession.
- Benefits: Gain hands-on experience, mentorship, and a competitive salary.
- Why this job: Make a real difference with your code in a dynamic environment.
- Qualifications: Passion for coding and experience in programming languages like Java or Python.
- Other info: Full-time internship with opportunities for personal and professional growth.
The predicted salary is between 500 - 1500 £ per month.
Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands.
Our Software Development Engineer (SDE) interns use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDE interns solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years. At Amazon, we believe in ownership at every level. As an SDE intern, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers.
We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.
Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.
Key job responsibilities- Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.
- Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.
- Participate in code reviews and contribute to technical documentation.
- Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.
- Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
- Write clean, maintainable code following best practices and design patterns.
- Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties.
- Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.
A day in the life: As an intern, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career. The team requires an internship duration of 3 to 6 months. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting.
BASIC QUALIFICATIONS- Must be 18 years of age or older
- Education Requirements (must meet one):
- Currently enrolled in Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields (degrees can be updated based on regional variations)
- Completed Bachelor's or Graduate degree in specified fields
- Demonstrated experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript
- Demonstrated experience one or more of the following:
- Data structures implementation
- Basic algorithm development
- Object-oriented design principles
- Experience with AI/ML technologies
- Experience in GenAI and Agent service development using LLM/VLM.
- Previous technical internship(s) or demonstrated project experience
- Experience with one or more of the following:
- AI tools for development productivity
- Cloud platforms (preferably AWS)
- Database systems (SQL and NoSQL)
- Contributing to open-source projects
- Version control systems
- Debugging and troubleshooting complex systems
- Strong problem-solving and analytical skills
- Excellent written and verbal communication skills
- Demonstrated ability to learn and adapt to new technologies quickly
- Basic understanding of software development lifecycle (SDLC)
Software Dev Intern - AI / Machine Learning in London employer: Amazon Business EU SARL (UK) - H91
Contact Detail:
Amazon Business EU SARL (UK) - H91 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Dev Intern - AI / Machine Learning in London
✨Tip Number 1
Network like a pro! Reach out to current or former Amazon interns on LinkedIn. Ask them about their experiences and any tips they might have. This can give you insider knowledge and maybe even a referral!
✨Tip Number 2
Prepare for those technical interviews! Brush up on your coding skills and practice common algorithms and data structures. Use platforms like LeetCode or HackerRank to get in the zone. Remember, practice makes perfect!
✨Tip Number 3
Show your passion for AI and machine learning! Be ready to discuss your projects or any relevant coursework. Highlight how you've used these technologies to solve real problems. It’s all about demonstrating your enthusiasm and knowledge!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team. So, get that application in and let’s make some tech magic happen!
We think you need these skills to ace Software Dev Intern - AI / Machine Learning in London
Some tips for your application 🫡
Show Your Passion for Technology: When writing your application, let your enthusiasm for technology shine through! Talk about projects you've worked on or technologies you're excited about. We love seeing candidates who are genuinely interested in solving real customer problems.
Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences align with the role. Mention specific programming languages or technologies from the job description that you’re familiar with. This shows us you’ve done your homework!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Amazon Business EU SARL (UK) - H91
✨Know Your Tech
Make sure you brush up on your programming languages, especially Java, Python, or C++. Be ready to discuss your experience with data structures and algorithms, as well as any AI/ML technologies you've worked with. This will show that you're not just a theory buff but someone who can apply their knowledge practically.
✨Show Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in the past. Think about projects where you had to design scalable solutions or work with distributed systems. Highlight your thought process and the impact of your solutions to demonstrate your analytical skills.
✨Emphasise Collaboration
Since this role involves working closely with cross-disciplinary teams, be ready to talk about your teamwork experiences. Share instances where you collaborated effectively, participated in code reviews, or contributed to technical documentation. This will showcase your ability to communicate and work well with others.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of projects you'll be working on, or how they implement CI/CD practices. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
