We are looking for a Computer Vision Scientist to join our team.
The project vision is to revolutionize traffic management technology with a new platform that leverages advanced sensor fusion for managing complex junction scenarios.
Key Responsibilities:
- Research, design, and develop CV algorithms and models from scratch to solve complex scenarios;
- Collaborate with engineers to integrate CV algorithms and models into software systems and applications;
- Conduct experiments and evaluations to assess the performance and accuracy of CV models and algorithms;
- Identify and collect relevant datasets and annotations to train and test computer vision models and algorithms;
- Stay up-to-date with the latest research and advancements in CV;
- Communicate research findings and insights to relevant stakeholders.
Requirements:
- Experience in designing and implementing CV models and algorithms, especially Segmentation/Detection/Recognition/Tracking;
- Experience in designing and implementing algorithms and components for lidars and stereo cameras;
- Strong knowledge of OpenCV;
- Strong knowledge of DL frameworks for the computer vision area, especially PyTorch;
- Proficiency in programming languages such as C++;
- Experience and capability in working with related publications;
- Strong analytical and problem-solving skills;
- Advanced English written and verbal communication skills (C1/C2);
- Master's degree in Computer Science, or a related field;
- Autonomous, self-reliant person focused on delivery.
A plus to have:
Python
- Experience with the number plate recognition algorithms;
- Experience with the multicamera object tracking algorithms;
- Experience with 3D (CloudPoints) object detection;
- Familiarity with ROS / ROS2;
- Familiarity with edge (embedded) development, and IoT;
- PhD with AI/CV/ML-related publications.
We offer*:
*not applicable for freelancers
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