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Our client company relies on certain open-source projects, including ROS, PX4, DroneCode, QGroundControl, OpenCV, and naturally Ubuntu Linux, so you are well embedded in robotics research. This endeavor draws inspiration from innovative work in autonomous systems, robot cooperation, machine vision, human-machine interface, peer-to-peer networking, and numerous other cutting-edge fields.
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Experience with one or several common machine learning, computer vision, or natural language processing toolboxes (PyTorch, Pandas, OpenCV, TensorRT, LibTorch, etc). Benefits offered to employees include: Comprehensive health, dental, and vision plans MIT-funded pension Matching 401K Paid leave (including vacation, sick, parental, military, etc.
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Experience with existing computer vision libraries such as OpenCV, PCL, CGAL, Eigen, etc. Knowledge of WebGL / OpenGL / OpenCV/ video codec / video processing. D. in Computer Science, Applied Mathematics, Physics or Computer Vision.
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Very skilled with vision libraries: OpenCV, PCL, etc. Background in computer vision, computer graphics, image processing, machine learning, or other related fields. - Vision-based mapping, localization, and navigation.
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Proficiency in tools and languages used in LLM development, 3D modeling, animation, and/or computer vision such as Langchain, Python, ChromaDB, Blender. 3+ years of experience or robust track record in applying and productizing ML models, especially in the domains of LLMs, computer vision, 3D asset generation, or 3D animation generation.
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Experience with opensource computer vision libraries such as OpenCV and PointCloudLibrary (PCL) R Squared Robotics is focused on solving problems in logistics by leveraging 2D and 3D computer vision.
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Exposure to OpenCV, MIL, or another machine vision library. In this role you will be the project owner and technical expert in designing, evolving, and bug fixing our vision system for the folding carton and bag manufacturing industries.
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Degree must be completed prior to joining Meta. Currently has, or is in the process of obtaining a PhD degree in computer vision, machine learning, computer graphics, artificial intelligence, applied mathematics, or related areas.
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Demonstrated experience with open-source computer vision and machine learning libraries (e.g., OpenCV, TensorFlow, and Caffe), Unix/Linux operating systems, and multi-threaded/parallel computing.
$123,900 - $230,400 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Keywords: deep learning, machine learning, generative AI, artificial intelligence, 3D, 2D, image processing, graphics, computer vision, LLMs, large language models, video, imaging, openCV, openGL, python, GANS, generative adverserial networks, neural networks, CNNs, image editing, video generation, multi-modal learning, image restoration.
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Experience creating developer-facing APIs and librariesExperience working with Qt frameworkExperience with rendering APIs such as DirectX, Metal, Vulkan or OpenGLExperience with a 3D rendering engine like Unity or UnrealExperience with libraries like OpenCV, Eigen and glmExperience with computer vision, sensors, or machine learning.
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Experience with popular computer vision libraries and frameworks, such as OpenCV, TensorFlow, and PyTorch. Solid understanding of computer vision fundamentals, including image processing, feature extraction, and machine learning techniques.
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Experience with computer vision, for example OpenCV. Since 1937, PerkinElmer has served as a trusted partner in laboratory analysis and management and today complements its service offerings with a broad portfolio of atomic spectroscopy, molecular spectroscopy, and chromatography instruments, consumables, and reagents.
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Proficiency in tools and languages used in 3D modeling, animation, and computer vision such as Python, OpenCV, Maya, Blender, or similar. 5+ years of experience in applying and deploying ML models, especially in the domains of computer vision, 3D asset generation, or 3D animation generation, or a robust portfolio of projects that demonstrate your expertise in machine learning applied to 3D graphics, animation, motion capture, and/or computer vision.
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The Computer Vision Scientist will work with world-class researchers and scientists to tackle challenging problems in deep learning, including 3D reconstruction and monocular facial tracking. Experience with CV tools e.g. OpenCV, scikit, numpy, etc.
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