Machine Learning Engineering Intern

Snap Inc.

Actively hiring Posted today Verified listing
London, United Kingdom · Santa Monica, CA Posted today
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22 other roles within 25 mi Near London, United Kingdom

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Salary context

How this pay compares to similar roles

Similar $212k
$150k most similar roles pay here $271k

This listing doesn't post a salary. Most similar roles pay $175,500–$248,500.

Based on 239 similar postings.

Employer

About Snap Inc.

Snap Inc. is a technology and camera company, best known for Snapchat, offering visual communication, augmented reality, and advertising products.

Snap Inc. currently has 55 open roles on FindRole.

Listed pay typically runs $209,000–$313,000 across 39 roles with salary data.

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View all roles at Snap Inc.

At a glance

TL;DR

Join the Spectacles AR team as a Machine Learning Engineering Intern for a 13-week Summer 2026 internship, contributing to the development of perception and understanding systems for intelligent AR experiences on Spectacles. You will work on technical projects focused on scene understanding, prototyping machine learning models using Python and deep learning frameworks like PyTorch or TensorFlow, and collaborating with cross-functional teams to integrate your work into production systems. Essential skills include strong computer science fundamentals, proficiency in Python, familiarity with deep learning frameworks, and experience in either computer vision or natural language processing. You will also develop new algorithms for geometric scene understanding, 3D reconstruction, and visual localization, all while working in a fast-paced, collaborative environment at Snap Inc.'s London office.

Skills

Python PyTorch TensorFlow JAX Computer_Vision Natural_Language_Processing Linux Git CI/CD

What you'll do

  • Develop and evaluate machine learning models for computer vision and multimodal understanding.
  • Contribute to geometric scene understanding, 3D reconstruction, and visual localization algorithms.
  • Integrate developed models into production-facing systems with guidance from mentors.
  • Apply advanced techniques in computer vision and machine learning to improve existing code.
  • Collaborate on projects that enhance semantic AR interactions through language integration.

What we're looking for

  • Strong computer science fundamentals and problem-solving skills.
  • Proficiency in Python for data processing, model development, and experimentation.
  • Familiarity with deep learning frameworks like PyTorch or TensorFlow.
  • Understanding of core concepts in machine learning and either computer vision or natural language processing.
  • Ability to collaborate effectively with cross-functional teams and communicate technical ideas clearly.
  • Currently enrolled in a BS or MS program graduating between December 2026 and Spring 2027.

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