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:office: Who is Vinivia

We’re a young Swiss startup focused on providing interactive solutions to our customers. Our main product is live streaming which leverages the most modern technologies available.

 

:face_with_monocle: What we are looking for 

As a Computer Vision Engineer in Augmented Reality (AR), you will play a pivotal role in designing, implementing, and optimizing Computer Vision (CV) algorithms to enable accurate real-time object tracking, scene understanding, camera calibration, feature detection and 3D geometry for AR applications. You will be at the forefront of developing AR technologies, creating captivating and interactive experiences for our users.

:muscle: Responsibilities

●      Develop advanced CV algorithms for AR, optimize CV pipelines for efficiency and performance on various platforms.

●      Collaborate with cross-functional teams to integrate CV capabilities with AR and UI components.

●      Stay updated with CV and AR by reading research papers and publications related to the field.

●      Work on data collection, annotation, and curation to support training and testing of CV models.

●      Contribute to the continuous improvement of AR products through innovative solutions and ideas.

●      Work in a fast-paced environment and meet project deadlines.

:nerd:  Skills and Qualifications

Education:

●      Bachelor's degree or higher in computer science, Electrical Engineering, or a related field.

Technical Skills:

●      Extensive expertise in CV fundamentals, encompassing projective geometry and point clouds processing.

●      Solid understanding of SO (3), SE (3), coordinate systems transform.

●      Hands-on Experience with OpenCV, NumPy, SciPy and deep learning frameworks (PyTorch and TensorFlow).

●      Experience with optimizing CV pipelines for efficiency and performance.

Programming Skills:

●      Proficiency in programming languages commonly used in CV, such as Python and C++.

Software Development:

●      Familiarity with Git and agile software development methodologies.

Preferred Qualifications:

●      Hands-on experience with Monocular Depth Estimation and/or Semantic segmentation.

●      Prior experience working on AR projects or applications.

●      Contributions to CV research, publications, or open-source projects.

●      Knowledge of TypeScript / JavaScript. 

:sparkling_heart: Benefits

●      Work from anywhere policy

●      Competitive compensation package

●      Learning budget

Contact person

Franc Vinzens
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