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- Tasks: Develop and evaluate machine learning models for exciting AR experiences.
- Company: Leading tech company in Greater London with a focus on innovation.
- Benefits: Gain hands-on experience, mentorship, and networking opportunities.
- Why this job: Join the Spectacles team and shape the future of AR technology.
- Qualifications: Pursuing a technical degree with strong Python skills and deep learning knowledge.
- Other info: Dynamic internship with collaboration across diverse teams.
The predicted salary is between 20000 - 30000 £ per year.
A leading technology company in Greater London is seeking a Machine Learning Engineering Intern for the Spectacles AR team. This 13-week internship offers hands-on experience in developing and evaluating machine learning models focused on AR experiences.
Ideal candidates will be pursuing a degree in a technical field with strong Python programming skills and familiarity with deep learning frameworks. The position starts in May or June 2026 and requires collaboration with cross-functional teams in a dynamic environment.
AR ML Engineer Intern - Spectacles Team (Summer 2026) employer: Snap Inc.
Contact Detail:
Snap Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AR ML Engineer Intern - Spectacles Team (Summer 2026)
✨Tip Number 1
Network like a pro! Reach out to current or former interns at the company through LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to machine learning and AR. This will help us stand out during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on deep learning frameworks. We should practice coding challenges and be ready to discuss our past projects in detail.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight our relevant skills and experiences.
We think you need these skills to ace AR ML Engineer Intern - Spectacles Team (Summer 2026)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python programming skills and any experience you have with deep learning frameworks. We want to see what you've got, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Spectacles AR team. Mention any relevant projects or coursework that align with AR experiences. It shows us you're genuinely interested!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to see why you’d be a great fit for the role.
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 this exciting opportunity.
How to prepare for a job interview at Snap Inc.
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python programming and any projects you've worked on that involved machine learning. Practising coding challenges can also help you feel more confident.
✨Familiarise Yourself with Deep Learning Frameworks
Since the role involves deep learning, it’s crucial to have a solid understanding of frameworks like TensorFlow or PyTorch. Prepare to talk about any specific projects where you’ve used these tools, and be ready to explain your thought process in developing models.
✨Show Your Collaborative Spirit
This internship requires working with cross-functional teams, so highlight any past experiences where you collaborated with others. Think of examples that showcase your communication skills and how you contributed to team success.
✨Prepare Questions About AR Experiences
Demonstrate your interest in the Spectacles AR team by preparing thoughtful questions about their current projects or future goals. This shows that you’re not just interested in the position but also genuinely curious about the work they do.