How do I apply for the Computer Vision Engineering Intern position at snaphr and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Computer Vision Engineering Intern role?

This position is a full-time, structured as a on-site role, with an expected duration of 4.5 months.

What educational background or degree level is required for the Computer Vision Engineering Intern at snaphr?

Candidates are generally expected to be holding or pursuing the following degree levels: Master, PhD.

Does snaphr provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Only EU/EEA.

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++
machine learning
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

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

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

AI & Machine Learning

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.).

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19Open Positions

Computer Vision Engineering Intern

Education

Skills & Qualifications

Technical Skills

Soft Skills

Job Description

Requirements

Related Field

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Languages

Nice to Haves