Paid Internship
Work Mode
Time Spent
Required Degree
Duration

Open Positions

Experience More On the Go

GET IT ONGoogle Play
Download on theApp Store
© 2026you'll get it. all rights reserved.

Internship Explorer

  • Explore
  • Saved Internships
Sign In

Internship Explorer

  • Explore
  • Saved Internships
Sign In
Paid Internship
Work Mode
Time Spent
Required Degree
Duration

20Open Positions

Auto-load
  • Computer Vision Engineering Intern

    snaphr
    Vienna, Austria
    Found 2 months ago
  • Computer Architecture Intern

    Snap
    Eindhoven, Netherlands
    Found 2 weeks ago
  • Praktikum im Bereich Data Science & Machine Learning (WS26/27)

    TRUMPF
    Ditzingen, Germany
    Found 2 weeks ago
  • Internship

    daedalean
    Zürich, Switzerland
    Found 2 weeks ago
  • Technicien

    Institut DataIA Paris-Saclay
    Évry, France
    Found 4 weeks ago
  • INTERNSHIP/MASTER'S THESIS: RADAR-BASED PERCEPTION FOR AUTONOMOUS DRIVING WITH DEEP LEARNING (F/M/D)

    FORVIA HELLA
    Lippstadt, Germany
    Found 1 month ago
  • Stage - Ingénieur Techniques Avancées en Deep Learning / IA en Imagerie 3D (H/F)

    getzhealthcare
    Buc, France
    Found 1 month ago
  • Research Intern

    Criteo
    Paris, France
    Found 1 month ago
  • Studentische Hilfskraft

    Technische Universität Berlin
    Berlin, Germany
    Found 1 month ago
  • Stage - Ingénieur Techniques Avancées en Deep Learning / IA en Imagerie 3D (H/F)

    Unity Software
    Buc, France
    Found 1 month ago
  • Stage - Perception pour Véhicule Autonome - Radar (F/H)

    Valeo
    Créteil, France
    Found 1 month ago
  • IT Working Student – Junior Machine Learning Engineer

    Julius Baer
    Zurich, Switzerland
    Found 1 month ago
  • Werkstudent im Bereich KI / Large Language Model (w/m/d)

    HENSOLDT
    Immenstaad, Germany
    Found 2 months ago

Computer Vision Engineering Intern

snaphr
Found 2 months ago
Location
Vienna, Austria
Duration (Months)
4.5 Months
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Only EU/EEA
Last Verified
1 month ago

Education

  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • Computer Vision
  • camera models
  • multi-view geometry
  • transformations
  • 3D geometry
  • trigonometry
  • linear algebra
  • Python
  • C++
  • Camera Calibration
  • Sensor Calibration and Fusion
  • Visual Inertial System
  • Hand Tracking
  • Object Tracking
  • Visual SLAM
  • Bundle Adjustment
  • Depth Estimation
  • 3D Scene Reconstruction
  • Semantic Segmentation
  • Motion Generation
  • Stable Diffusion
  • Machine Learning

Soft Skills

  • 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 across different teams

Job Description

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. Snap’s 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 that’s available to them in the digital world. We are looking for a Computer Vision Engineering PhD or MS student to join our student worker program at Snap Inc! What you’ll do The Spectacles student employment is a full-time position for the duration of 3 to 6 months. We aim to offer students industry exposure and hands-on experience. Your start date is flexible and can be arranged together with the hiring manager. You will: * Research and develop advanced computer vision algorithms and enhance performance for Spectacles-specific challenges. * Implement and optimize computer vision technologies onto Spectacles. * Write clean and modular code. Test and iterate on algorithms/models to ensure robustness and efficiency. * Research novel CV/AR methodologies and publish results (Optional) or contribute to patents, bridging academic innovation and product development.

Requirements

  • Currently enrolled in a MS or PhD program in a technical field, such as Computer Science, Electrical Engineering, or a related field
  • You must be legally permitted to work in Austria as a student
  • Proficiency in programming Python/C++
  • Research experience with machine learning / computer vision approaches, in one or more of the following areas: Camera Calibration, Sensor Calibration and Fusion, Visual Inertial System, Hand Tracking, Object Tracking, Visual SLAM, Bundle Adjustment, Depth Estimation, 3D Scene Reconstruction, Semantic Segmentation, Motion Generation, Stable Diffusion

Related Field

  • AI & Machine Learning

Related Subfield

  • Computer Vision

Languages

  • English

Nice to Haves

  • PhD candidate in related fields (Computer Vision, Machine Learning, Robotics etc.)
  • Experience with integrating Machine Learning models into Augmented Reality solutions
  • Experience with 3D engines, e.g. Lens Studio, Blender, Unity, Unreal Engine
  • Have at least one first-author publication in a top conference (CVPR, NeurIPS, ECCV, ICCV, etc.).
▶Apply Now

Similar Roles You Might Like

  • Spectacles Student Worker- Computer Vision Engineering

    snaphr
    Vienna, Austria
    Found 2 months ago
  • Computer Vision Engineering Intern

    Snap
    Vienna, Austria
    Found 1 month ago
  • Spectacles Student Worker - Computer Vision Engineering

    Snap
    Vienna, Austria
    Found 1 month ago
  • Computer Vision Engineering Intern

    snaphr
    Vienna, Austria
    Found 2 months ago
  • Spectacles Student Worker - Software Engineering - Graphics

    snaphr
    Vienna, Austria
    Found 2 months ago
  • Internship/ Master Thesis on developing tracking methods for deformable objects (f/m/x)

    ZEISS Group
    Oberkochen, Germany
    Found 2 months ago