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Intelligent Creation team focuses on conducting cutting-edge research and development in the area of Computer Vision, Computer Graphics, and particularly Generative AI. We continuously transfer innovative technologies to TikTok products and inspire TikTok users' creativity.
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Experience with popular computer vision and GPU frameworks/libraries (e.g., OpenCV,TensorFlow, PyTorch, CUDA, cuDNN etc.) After having spent over five years researching robotics, computer vision, aeronautics, and drone autonomy, the founder and team set their minds on building a future where aerial robots would become an integral part of our daily lives without anyone necessarily piloting them.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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More specifically, you will provide thought leadership on and lead strategic efforts in Computer Vision (CV) and Machine Learning (ML) areas for Ring and Blink, covering themes including but not limited to 3D vision, SLAM, Classic Deep Learning, and Generative AI, and work with Product, Science, and Engineering teams to deliver short- and long-term CV/ML solutions in production for optimized edge-based solutions to large-scale models.
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2 years of experience in conducting research in machine learning, natural language processing or computer vision. Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related fields.
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The following engineering disciplines or specialties are preferred: Mechanical, Mechatronics, Robotics, Electrical, Computer, Systems, Software, Computer Science, Materials Science, Biomedical, Optical and Bioinformatics.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. You will play a key role in our Advanced Technology Group "ATG.
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NVIDIA's Isaac Robotics Platform is binding together high-fidelity visual and physical simulation, a high-quality developing platform, hundreds of optimized algorithms to address hard problems in computer vision and artificial intelligence, and a small and powerful computational platform to form the brain of intelligent machines.
$258,750 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Theoretical knowledge in the field of computer vision, machine learning, and image processing, or ISP sensors. We are seeking an Embedded CV Software Engineer who is excited about introducing groundbreaking capabilities in the fields of computer vision, machine learning, and imaging, through mapping and optimization of a complex embedded C.
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Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis. Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis.
$145,000 a yearInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design, architect and implement large-scale machine learning systems/infrastructure/services for computer vision, computer graphics and deep learning models. Currently pursuing a BS or MS in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
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Responsibilities - Conduct cutting-edge research and development in computer vision, speech, audio, music or language- Transfer advanced technologies to ByteDance products;- Explore new products with artificial intelligence technology at its core.
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Have the ability to learn and utilize instructional technology to support in-class and distance learning when needed ( Zoom, Nearpod) Essential Functions and Responsibilities Daily lesson planning and long term planning using curriculum and resources to align with KIPP’s academic vision and goals.
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What You Will Do:As a Computer Vision Engineer, you will contribute to state-of-the-art machine learning infrastructure and relevant software (e.g. supervised learning, reinforcement learning, data management, and evaluation at unparalleled scale.
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As a Machine Learning Engineer within the Siri team, you will define new approaches for evaluating innovative computer vision algorithms and models to enhance product capabilities, including but not limited to image classification, face recognition, object detection, motion detection, action recognition, pose estimation, and gesture recognition.
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