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Develop and refine deep learning models and techniques for genomics analysis, including but not limited to DNA sequencing, variant calling, and model prediction. Innovate deep learning-based methodologies to enhance and apply advanced Large Language Models (LLMs), Graph Neural Networks, Graph Transformer Networks, and construct extensive multi-modal models in genomics.
$180,000 - $339,250 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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NVIDIA is looking for Senior Deep Learning Scientist, Conversational AI who is passionate in areas such as, embodied AI, conversational AI, robotics (navigation, manipulation), AR/VR/MR, egocentric computer vision, grounded 3D perception, simulation and sim2real transfer, pre-training for embodied agents, and human-AI interaction, bringing to bear foundational knowledge from areas such as deep learning, reinforcement learning, computational statistics, and applied mathematics.
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This internship is part of an ambitious effort to design and develop intelligent audio analytics capabilities at the intersection of deep learning and audio signal processing with diverse application domains ranging from physical security to intelligent and connected vehicles.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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Silicon performance analysis of High Performance Computing or Deep Learning Systems with commonly used silicon performance monitoring and profiling tools (perf/gprof/nvidia-smi/dcgm). Come join our team, and bring your experience and interests to help us optimize our next generation of datacenter hardware, deep learning frameworks and to redefine the deep learning industry once again.
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Software Engineer, Computer Vision/Deep Learning Bellevue, Washington, United States Mountain View, California, United States Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they're going.
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PhD in applied mathematics, computer science, physics or other quantitative disciplines with a strong focus on machine learning and deep learning. Demonstrated mastery of a broad array of deep learning architectures with emphasis on transformer-based models and graph neural network architectures (transformer-VAEs, BERT, GPT, T5, Perceiver, GCN, GAT, MPNNs.
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We are seeking a Deep Learning Research Scientist who is passionate about expanding the limits of deep learning capabilities. As a Research Scientist at Dessa, you will create novel deep learning systems with the capability to perform tasks that were once considered unattainable.
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Job Description/Preferred Qualifications We are looking for a full-time algorithm Research Scientist who is passionate on pioneering Machine Learning, Deep Learning, Reinforcement Learning, Foundation Models for image processing and computer vision applications in semiconductor process control business.
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In this role you will own the design and implementation of infrastructure for reliable and highly performant deep learning and analytics pipelines. 7+ years of hands-on development building deep learning and/or data pipelines.
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Use state-of-the-art deep learning approaches (e.g. CNN, transformer, RNN/LSTM/GRU, GCN/GNN) to extract value from massive amounts of unstructured data (text, images). Zurich North America is looking for a Senior Data Scientist, Deep Learning to join our growing Data & Analytics Team. While this position will be based out of our North American Headquarters in Schaumburg, Illinois, we are offering the flexibility to work both in the office and remotely.
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Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark. Utilize machine learning, deep learning, and other data science techniques to design, develop and optimize algorithms that drive data insights and product performance.
RemoteExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Strong background in deep learning theory and techniques, with hands-on experience in developing and training neural networks using frameworks such as PyTorch, JAX or TensorFlow. Publications or a demo page to share that highlight a proven track record of exploratory research/work in the field of deep learning.
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Your passion for machine learning, deep learning, and NLP, coupled with your curiosity and desire to keep learning, will be instrumental in advancing Cambia’s data-driven initiatives.
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We are now looking for a Deep Learning Computer Architect:NVIDIA is seeking architects like you to help design hardware accelerator and processor architectures that enable state of the art machine learning and data analytics algorithms and applications on our next-generation mobile, embedded and datacenter platforms.
$176,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
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