Senior Computer Vision Scientist (#1770)

Senior Computer Vision Scientist (#1770)

Ukraine, Europe

Work type:

Office/Remote

Technical Level:

Senior

Job Category:

We are looking for a Senior 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 Python
• 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:

• 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, C++, and IoT
• PhD with AI/CV/ML-related publications

We offer:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing

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