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Strong Python and deep learning development skills and experience with one or more training or deployment environments (PyTorch, Tensorflow) The Adobe Document Cloud Data Science team is looking for Machine Learning Engineer who can apply computer vision techniques and help us build solutions that will drive the success of our Document Cloud business.
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Understand, analyze, profile, and optimize infrastructure supporting deep learning and HPC applications. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.
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Our teachers also implement Social Emotional Learning lessons and Restorative Practices to create a joyful, inclusive classroom community. Have the ability to learn and utilize instructional technology to support in-class; and distance learning (i.e. Zoom, Nearpod) as needed in pandemic environment.
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The Stanford Educational Neuroscience Initiative (SENSI) seeks a full-time Research Coordinator to support ongoing research projects examining the neural mechanisms of learning and fluency development in school-aged children (K-8.
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Requiring a minimum of a Master’s degree +3yrs of experience or a Ph. D.Expertise in statistical analysis, predictive modeling, and machine learning algorithms. The ideal candidate will have a strong background in data analysis, predictive modeling, and machine learning, with a passion for applying these skills to solve complex problems in medical diagnostics.
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We are seeking a highly motivated and talented Machine Learning Engineer Intern with experience in Natural Language Processing (NLP) to join our team and contribute to the development of our AI-driven solutions.
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We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. Challenges you will own Technical leadership of at least one company wide programDeveloping and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
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Preferred Qualifications- Minimum of 3 years of experience in one or more of the areas: recommender systems, machine learning, deep learning, pattern recognition, data mining, computer vision, NLP, content understanding or multimodal machine learning- Prior industry experience with the main components of recommendation systems (retrieval, ranking, re-ranking, cold-start, is a plus but not required.
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And deep learning framework such as Pytorch, tensorflow, JAX, etc. We seek a strong technical leader with domain expertise in machine learning, large language models and multimodal models, reinforcement learning and setting up simulation environments to benchmark and evaluate.
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Come join Kohler Ventures as Sr. Software Engineer/Architect, as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships.
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Familiar with machine learning and deep learning frameworks, like TensorFlow, Pytorch, JAX. - Interest in privacy-enhanced techniques (PET) and related technical domains, including data and identity anonymization, differential privacy, secure multi-party computation, federated machine learning, on-device machine learning, interpretable AI, privacy-preserving technology for large language models (LLM) or foundation models, privacy-preserving regulation technology, etc.
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Experience with frameworks for deep-learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.) Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., LLM, deep learning, convolutional networks.
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Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models. Foundation Model Infrastructure team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence.
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30 PEDAL (Programs of Evaluation, Development and Learning) Clinic- Bend, OR *ST. CHARLES HEALTH SYSTEM. The Medical Assistant (MA) position is assimilated throughout St. Charles Medical Group encompassing practices in three Central Oregon counties and numerous specialties including family care, internal medicine, obstetrics and gynecology, pediatrics, immediate/urgent care, cardiology, pulmonology, rheumatology, general surgery, cancer care, behavioral health and sleep medicine.
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Extensive experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc. Strong foundation in Machine Learning (ML), Deep Learning, LLMs and NLP.
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learning job Title: nurse Company: Compunnel in Sunnyvale, CA
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