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Paid Internship
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Time Spent
Required Degree
Duration

11Open Positions

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Machine Learning Engineering Intern

Snap
Found 2 weeks ago
Location
London, United Kingdom
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
2 weeks ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • PyTorch
  • TensorFlow
  • JAX
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Natural Language / LLMs
  • geometric scene understanding
  • 3D reconstruction
  • semantic scene understanding
  • visual localisation
  • Linux

Soft Skills

  • problem-solving skills
  • Ability to understand, debug, and improve existing code
  • Ability to collaborate with other engineers and cross-functional partners
  • communicate technical ideas clearly
  • collaborative environment

Job Description

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.

Requirements

  • 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.
  • 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.
  • 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)

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • 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)
▶Apply Now

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