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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

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