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Experience with specialized libraries, languages, and frameworks like Pytorch, TensorFlow, OpenCV, PCL. Sr. Machine Learning Engineer - NVIDIA Jetson / CUDA. and CUDA C. Ideal candidates have a background in writing robotics software on embedded systems (especially NVIDIA Jetson), as well as strong software engineering skills.
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Experience with image processing software such as OpenCV or similar. Experience with image processing software such as OpenCV or similar. Family-building, fertility, adoption and surrogacy benefits.
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Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, Transformers, TensorFlow, OpenCV, etc.) Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, Transformers, TensorFlow, OpenCV, etc.
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Experience with camera APIs and frameworks, such as OpenCV, DirectShow, or V4L2. Our incredibly talented team of engineers, innovators, and industry leaders bring years of experience from the top healthcare companies in the world, including: Intuitive, Auris, Stryker, Johnson & Johnson, Boston Scientific, Verb Surgical, Mako, Think Surgical, Medrobotics, and Hansen.
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OpenCV, and deep learning frameworks like TensorFlow or PyTorch. OpenCV, and deep learning frameworks like TensorFlow or PyTorch. Holds a Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field, with a focus on computer vision or machine learning.
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Python, LaTex, Bash, Cmake, Git, Linux, familiar with data structures and algorithms, machine learning and mathKnowledge in using open-source libraries: OpenCV, OpenGL, TensorRT, Open3D, CUDA, Open3D, PCLProject Management & leadershipExperience running one or more projects simultaneously.
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Experience using OpenCV for camera sensing / computer vision applications. Knowledge in motion controls, optics, and fluidics. About Us: Started by Stanford/MIT alumni who previously founded 3 successful medical device companies, Ruby Robotics is advancing precision oncology with robotics and artificial intelligence solutions.
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Experience with OpenCV. Experience with one or more deep learning frameworks (Caffe, Caffe2, PyTorch, Tensorflow) Computer Science, Computer Engineering, Artificial Intelligence and Machine Learning, Data Science.
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