US company providing embedded device with DepthAI/ML/computer vision technology.
Responsibilities
Collaborate with clients and work on state-of-the-art neural networks, their optimization, and deployment on edge devices
Work on various projects, including lightweight models for assistance in autonomous navigation, neural assisted depth estimation, or even simple object detection
Help manage tools that aim to bring Spatial AI to everyone
Investigate different approaches of fusing depth information to improve specific tasks
Help clients curate data collection for model improvement
Requirements
Requirements
5+ years relevant experience
Python expert with a passion for computer vision
Strong knowledge of ML algorithms
Web technologies (overview understanding)
Multithreading and multiprocessing
Experience with industry-recognized ML frameworks (PyTorch, TF, …) for computer vision and related libraries (Numpy, Pandas, Pillow, OpenCV, ...)
Strong understanding of the math behind ML algorithms
Basic knowledge of computer vision methods
Basic knowledge of Linux and Git
Good to have
Experience in deploying and maintaining machine learning models to edge