Computer Vision Engineer

Zagreb, Croatia


About the role

We are looking for a computer vision engineer to join a machine-learning–heavy project focused on photogrammetric reconstruction of multiple objects using 3D Gaussian Splatting. The project requires a custom implementation of SfM algorithms as COLMAP merged with new segmentation algorithms like SegmentAnything. You will work alongside experienced engineers to help develop, test, and deploy components of a computer vision / 3D reconstruction pipeline. 

Responsibilities

  • Develop and maintain core features for a computer vision/photogrammetry pipeline.

  • Implement, integrate, and optimize ML models for production use.

  • Improve performance and scalability (GPU/CPU optimization, batching, parallelism, profiling).

  • Monitor and troubleshoot issues in development and production environments.

  • Help the development team deliver technical documentation 

What are we looking for

  • At least a Master’s degree in Computer Science or a related field
  • at least 5 years of professional software development experience in computer vision or ML model development, prior use of any of the following or similar: object detection, image segmentation, tracking, monocular depth estimation, image feature extraction, image infill using stable diffusion
  • Experience with PyTorch

  • Solid knowledge of software engineering fundamentals: version control, testing, debugging, CI/CD.

  • Experience with  OpenCV and/or Open3D

Bonus points

  • Prior experience with photogrammetry or 3D reconstruction knowledge or willingness to learn: structure from motion, camera calibration, pose estimation, mesh reconstruction, point cloud registration. 

  • Prior professional experience using C++

What we offer

  • Working on a cutting-edge project

  • Competitive salary based on experience and skills

  • High-end computer equipment tailored to your needs

  • A supportive, collaborative team that values initiative and creativity

Interview process 

  1. Intro call (fit and expectations)

  2. Technical assignment (solvable in less than 3h)

  3. Final Talk /offer

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