Logo Snapchat

Spectacles Student Worker

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

    Map of company locations
    • Location Vienna

      Location Vienna

      Austria

    Topics that you deal with on the job

    This is your employer

    Snapchat

    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

      4.6
    • Engineering

      2.7
    • Career Growth

      3.4
    • Culture

      4.0
    All Dev Reviews on devworkplaces.com
    Logo Snapchat

    Spectacles Student Worker

    Location
    Vienna
    Working Model
    Onsite

    More Jobs