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Spectacles Student Worker - Computer Vision Engineering

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Job

  • Level
    Junior
  • Job Feld
    Data, Embedded
  • Anstellung
    Vollzeit
  • Vertragsart
    Praktikum / Schulpraktikum
  • Ort
    Wien
  • Arbeitsmodell
    Onsite
  • Job Zusammenfassung

    In dieser Vollzeitposition entwickelst du fortschrittliche Algorithmen für Computer Vision, optimierst diese für die Spectacles und implementierst umfangreiche Tests zu deren Robustheit und Effizienz.

    Job Technologien

    Deine Rolle im Team

    • 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.
    • 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.

    Unsere Erwartungen an dich

    Qualifikationen

    • 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.).

    Erfahrung

    • 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.
    • Experience with integrating Machine Learning models into Augmented Reality solutions.
    • Experience with 3D engines, e.g. Lens Studio, Blender, Unity, Unreal Engine.

    Job Standorte

    Map of company locations
    • Standort Wien

      Österreich

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    Description

  • Unternehmenstyp
    Etablierte Firma
  • Arbeitsmodell
    Hybrid, Onsite
  • Branche
    Internet, IT, Telekom
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    Spectacles Student Worker - Computer Vision Engineering

    Ort
    Wien
    Arbeitsmodell
    Onsite
    Diversität
    Für alle Personen geeignet (m/w/d)

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