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This classification differs from the lower-level classification of Public Safety Dispatcher-In-Training in that the Public Safety Dispatcher-In-Training is the entry level classification whereby incumbents are learning to perform the duties of the classification.
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Hands-on experience on developing computer vision and machine learning algorithms with focus on at least two of the following areas: object detection/segmentation, 3D scene understanding, autonomous driving, and sensor fusion.
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Collaborate with the other teams to build the best and strongest state-of-the-art farming equipment; Machine Learning, Hardware, Electrical, Backend, and Operations. Annual Learning & Development Stipend.
$175,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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We are looking for a Research Scientist with demonstrated experience in deep machine learning and one or more of computer vision (CV), natural language processing (NLP), and computer graphics (CG) to research and develop algorithms and models to enhance the tools used by content creators throughout the production lifecycle, including visual effects (VFX), animation, and games.
$150,000 - $750,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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FedML's researchers and software engineers and product teams are busy developing the next-generation FedML platform for machine learning and artificial intelligence and we're looking to grow our team with skilled professionals who bring fresh ideas from all areas, including machine learning and its applications, computer vision, natural language processing, large-scale system design, distributed/cloud computing/systems, MLOps, security/privacy, mobile/IoT systems, and networking.
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We are looking for Software Engineers who are passionate about sensors and want to build performant and scalable software pipelines for sensor fusion and multi-modal machine learning algorithms for AR/VR. In this role you will lead the definition and implementation of software frameworks and tools for efficient ingestion of sensor data, scalable modal training and neural network architecture development, visualization of complex multi-modal sensor data, and more.
$177,008 - $251,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Researchers around the world are using NVIDIA GPUs to power a revolution in Deep Learning and enabling breakthroughs in numerous areas. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
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Shoreline AI’s patented, AI/ML-driven, fully cloud-managed Asset Performance & Predictive Maintenance (APM/PdM) Software & Smart sensor Platform requires no expensive experts to deploy, no upfront CapEx costs, and no data-scientists; to operationalize within minutes per asset, thereby delivering powerful machine-specific analytics with unmatched ease.
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In-depth knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and other AI technologies. When necessary, develop custom solutions using AI techniques such as machine learning, deep learning, natural language processing, and computer vision.
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In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques. In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques.
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Gridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets.
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The AppleCare Business Insights, Operations, and Systems (ACBIOS) team is seeking an experienced Data Scientist/Machine Learning Engineer who is passionate about using analytics to drive business decisions and impact customer experiences.
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Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML) As a member of this premier team, you will work on the intersection of NLP, Machine Learning and Software Engineering.
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Loss function and regularizer design, quantization, multi-task learning, knowledge distillation, NN compression. As a member of Recogni's system software team, you will be responsible for implementing the software that runs inside a high-performance and low-power convolutional neural network accelerator ASIC that forms the core of the company's flagship perception module product for autonomous driving applications.
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California State University (CSU) Learning & Development. Keeps accurate records of days and times for practices, game day operations, staffing hours, and vendor; assist the Director with event settlements.
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machine learning jobs Title: expert Company: Booz Allen Hamilton in San Jose, CA
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