Job
- Level
- Junior
- Job Field
- Software, Embedded
- Employment Type
- Full Time
- Contract Type
- Internship / school internship
- Location
- Vienna
- Working Model
- Onsite
Job Technologies
Your role in the team
- 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.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- Solid foundation in Computer Vision such as camera models, multi-view geometry and transformations.
- Solid Math background with understanding of 3D geometry, trigonometry and linear algebra.
- 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.
- 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++.
- PhD candidate in related fields (Computer Vision, Machine Learning, Robotics etc.).
- Have at least one first-author publication in a top conference (CVPR, NeurIPS, ECCV, ICCV, etc.).
Experience
- Research experience with machine learning / computer vision approaches, in one or more of the following areas: Hand Tracking, Object Tracking, Eye Tracking, Biometric Authentication, Visual SLAM, Bundle Adjustment, Depth Estimation, 3D Scene Reconstruction, Semantic Segmentation, Procedural Scene Generation, Motion Generation, Stable Diffusion.
- Experience with integrating Machine Learning models into Augmented Reality solutions.
- Experience with Git, cloud environments (GC, AWS etc.).
- Experience with 3D engines, e.g. Lens Studio, Blender, Unreal Engine.
- Experience with synthetic data generation.
This text has been machine translated. Show original
Job Locations
Topics that you deal with on the job
This is your employer
Snapchat
We believe that the camera is one of the most important tools for communication and self-expression. We are dedicated to creating new and innovative ways to improve the way people communicate and share their lives with others.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.6
Workingconditions
4.6Engineering
2.7Career Growth
3.4Culture
4.0