Machine Learning Engineering Intern

🔒 Confidential Employer
Posted 8 May 2026
LOCATION
London
TYPE
Full-time
LEVEL
Internship
CATEGORY
Software Engineering
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python PyTorch Computer Vision Deep Learning Machine Learning Linux Version Control (Git) Scene Understanding

FULL DESCRIPTION

Machine Learning Engineering Intern

[Employer hidden — sign up to reveal] Inc | London | Full-time | Internship

Posted 36 days ago

About the Role

[Employer hidden — sign up to reveal] Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. [Employer hidden — sign up to reveal] contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, Lens Studio, and Spectacles. The Spectacles team is pushing the boundaries of technology to bring people closer together in the real world. We are looking for a Machine Learning Engineering Intern to join the Spectacles AR engineering team at [Employer hidden — sign up to reveal] Inc!

What You'll Do

  • Join the Spectacles AR team in the London, UK office for a 13-week Summer 2026 Machine Learning Engineering Internship.
  • 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.
  • Partner closely with your mentor and teammates across Spectacles software and other cross-functional teams.
  • 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).

Additional Information

[Employer hidden — sign up to reveal] Inc offers comprehensive benefits including paid parental leave, medical coverage, and emotional health support. We practice a 'default together' policy requiring office work 4+ days per week. [Employer hidden — sign up to reveal] is an equal opportunity employer. EOE, including disability/vets.

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