Machine Learning Engineering Intern

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves live in the moment learn about the world and have fun together. The Companys three core products are Snapchat a visual messaging app that enhances your relationships with friends family and the world; Lens Studio an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses Spectacles.

The Spectacles team is pushing the boundaries of technology to bring people closer together in the real world. Our fifth-generation Spectacles powered by Snap OS showcase how standalone see-through AR glasses make playing learning and working better together.

Snaps camera supports real friendships through visual communication self expression and storytelling. Moving forward our camera will play a transformative role in how people experience the world around them combining what they see in the real world with all thats available to them in the digital world.

We are looking for a Machine Learning Engineering Intern to join the Spectacles AR engineering team at Snap Inc!

What youll do

Join the Spectacles AR team in the London UK office for a 13-week Summer 2026 Machine Learning Engineering Internship. As an intern you will contribute to the Spectacles software organization which is dedicated to developing the perception and understanding systems necessary for intelligent AR experiences on Spectacles.

Additionally you will:

• Work on a technical project that aligns with Spectacles product and research needs focused on scene understanding for AR experiences.

• Prototype train and evaluate machine learning models for computer vision and multimodal understanding using Python and modern deep learning frameworks.

• Contribute to models tooling and algorithms in geometric scene understanding 3D reconstruction semantic scene understanding visual localisation and connecting scene understanding to language for richer more semantic AR interactions.

• Partner closely with your mentor and teammates across Spectacles software and other cross-functional teams to integrate your work into production-facing systems.

• Learn and apply new software engineering and machine learning skills in a fast-paced collaborative environment.

Knowledge Skills & Abilities

• Strong computer science fundamentals and problem-solving skills.

• Proficiency in Python for data processing model development and experimentation.

• Familiarity with at least one deep learning framework (e.g. PyTorch TensorFlow or JAX).

• Understanding of core concepts in machine learning and at least one of:

  • Computer Vision (e.g. image classification detection segmentation depth estimation optical flow 3D geometry) or

  • Natural Language / LLMs (e.g. sequence modeling transformers language model fine-tuning vision-language models).

• Ability to understand debug and improve existing code as well as develop new algorithms using advanced computer vision and machine learning techniques.

• Ability to collaborate with other engineers and cross-functional partners and communicate technical ideas clearly.

• Comfortable working in a Linux-based development environment.

Minimum Qualifications

• Currently enrolled in a BS MS program in a technical field such as Computer Science Electrical/Computer Engineering Mathematics or a related discipline with a graduation date no sooner than December 2026.

• Graduating between December 2026 and Spring 2027.

• Must be able to start in office in May or June 2026 for a 13-week internship.
  

Preferred Qualifications

• Coursework or hands-on project experience in machine learning or deep learning.

• Experience writing documenting and debugging high quality code in Python

• Experience with standard developer practices (version control rigorous testing documentation standards)

If you have a disability or special need that requires accommodation please dont be shy and provide us some information.

Default Together Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster reinforce our values and serve our community customers and partners better through dynamic collaboration. To reflect this we practice a default together approach and expect our team members to work in an office 4 days per week.

At Snap we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer and committed to providing employment opportunities regardless of race religious creed color national origin ancestry physical disability mental disability medical condition genetic information marital status sex gender gender identity gender expression pregnancy childbirth and breastfeeding age sexual orientation military or veteran status or any other protected classification in accordance with applicable federal state and local laws. EOE including disability/vets.

Our Benefits: Snap Inc. is its own community so weve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy on your own terms. Our benefits are built around your needs and include paid parental leave comprehensive medical coverage emotional and mental health support programs and compensation packages that let you share in Snaps long-term success!