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As a computer vision engineer, you will be a part of the Mujin R&D team, focusing on the algorithmic design, development, and deployment of computer vision applications for high-speed recognition. You will work directly with and expand on the world’s first 3D vision system for factory automation and logistics solutions. Our computer vision algorithms are robust enough to run on 24/7 systems, handling thousands of items per customer, for diverse customers and applications. The challenges of enlarging its capabilities toward more autonomy, scalability, and diversity of applications mean you will never stop learning at Mujin.
Job Responsibility:
Solve cutting-edge scientific and technical challenges related to recognition and pose estimation of a very wide variety of objects in challenging scenarios
Analyze and evaluate state-of-the-art algorithms related to object detection and pose estimation, from both academic and industrial research, and implement and enhance them in a production environment
Design, develop and evaluate the performance of highly scalable and accurate real-time computer vision applications in C++ and Python
Perform detailed tests, carry out performance analysis on algorithms, and use continuous integration tools to finely enhance the rapidly deployed algorithms
Manage the integration and deployment of Mujin’s vision systems at customer sites, involving direct client interactions and rapid problem solving
Requirements:
Master's degree/Ph.D. or foreign equivalent in computer science, robotics, or related field
2-4 years of combined computer vision focused research/internship/work experience
Developing applications and tools in C++ and Python
Developing and implementing algorithms for 3D object detection and recognition in various environments
Performing camera calibration to ensure precise measurements in image processing and analysis
3D and 6D pose estimation to determine the orientation and position of objects in space
3D reconstruction to build detailed models from images and point cloud data, enhancing the accuracy of object detection and scene understanding
Processing and analyzing point cloud data to create 3D models of environments or objects