Magna Corporate R&D is looking for a self-motivated intern to support their research team in projects focused on Computer Vision, Deep Learning, Image segmentation, and Pose estimation to contribute to new technology development in localization and 3D scene understanding/reconstruction.
Requirements
- Experience building systems based on machine learning and/or deep learning methods.
- Programming experience with Python/ C++/MATLAB, ROS/ROS2
- Hands-on experience with deep learning frameworks such TensorFlow, PyTorch, etc.
- Good hands-on experience with computer vision algorithms and libraries, such as Open CV,
- Development experience in a Linux environment (Ubuntu is preferred)
- Experience with DL/ML is required.
- Hands-on experience with deep learning models for image/video understanding and pose estimation is a plus.
Responsibilities
- Supports the team in the industrialization of the existing 6D pose estimation pipelines.
- Work with an existing vision, DL model, and toolset and improve aspects of it.
- Support the research and development of new DL/ML algorithms in object detection, segmentation, and 6D pose estimation domains.
Other
- Self-starter and able to work in a collaborative and result-oriented environment.
- Current enrollment in computer science, electrical engineering, computer Engineering, Mechanical Engineering, or robotics with emphasis on computer vision and machine learning degree-seeking program at the Graduate-level
- Strong knowledge of programming techniques, especially for parallel architectures, is a plus.
- Normal amount of sitting or standing, average mobility to move around an office (Troy, MI) environment, able to conduct a normal amount of work at a computer.
- Student / Co-Op
