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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
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We are focused on applying state-of-the-art computational technologies, Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision to advance decision support products in the government and commercial markets.
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Instacart builds smart shopping tools powered by deep learning and computer vision to enable a seamless grab-and-go retail experience. The autonomous checkout technology is plug and play, meaning it requires no in-store renovation, no operational overhaul, no heavy computations, or endless image labeling.
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Hands-on experience implementing 3D computer vision algorithms, Sensor Fusion, Reconstruction, Object Tracking, Mapping, and Image Processing. Proven publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields.
$213,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platform, such as the Kitware Image and Video Exploitation and Retrieval (KWIVER) toolkit.
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Interface with video capture, compression and deep learning hardware blocks. Application and system level programming for image capture, compression and analysis. Computer vision and machine learning experience is a huge plus.
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In this role you will leverage your expertise in image and video processing, ML, and deep learning and work with peers in the science, engineering and product teams to improve the quality of personalized recommendations and search across SiriusXM and Pandora products.
$155,000 - $238,100 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Machine Learning and GPU acceleration (NVIDIA ecosystem) with a strong ability to dive deep when needed and to select the right tool for the job. Guard the overall performance of the (high-resolution) image processing pipeline in a containerized Linux environment, guarding and optimizing the overall system performance.
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Knowledge of deep learning techniques for image synthesis and transformation. The ideal candidate will possess expertise in app development, software architecture, and integrating various APIs. This role requires a deep understanding of AI technologies, particularly in image processing and video generation.
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3+ years of hands on experience in classification of sequence of images ( action recognition) with ViT or RCNN or any sequential image classification deep learning model (must have.
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Strong understanding of computer vision algorithms and techniques, including deep learning and convolutional neural networks. Solid knowledge of image processing techniques and related tools.
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Your expertise with LLMs (Latent Language Models) combined with deep learning experience is essential to drive cutting-edge research initiatives forward. We require candidates who can demonstrate their abilities through past work experience or academic degrees/certificates related specifically towards machine/deep learning technology.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Knowledge of deep learning frameworks such as PyTorch and TensorFlow, computer vision, NLP, or related areas would be a plus. Work on a small team of ML engineers to apply Deep Learning techniques to challenging real world problems such as.
$175,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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In-depth experience with modern data science approaches, including unsupervised and supervised classification and regression algorithms such as k-means clustering, support vector machines, random forests, neural networks, and deep learning.
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