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Design, develop, and deploy advanced machine learning models and algorithms, leveraging deep learning frameworks such as PyTorch and TensorFlow. - Conduct ongoing research to stay abreast of the latest developments in machine learning, deep learning, and data science, and apply this knowledge to enhance project outcomes.
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In this role, the Machine Learning Engineer will work with a variety of data-driven technologies, including traditional and deep learning paradigms. Expert-level experience PyTorch, TensorFlow, or other major deep learning framework.
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Build and lead the data science team translating small molecule and proteomic drug discovery challenges into breakthroughs via deep learning applied to computational chemistry. This position is ideal for someone with deep expertise in machine learning, deep learning (particularly for building biologically meaningful representations of chemical structures), and computational chemistry, sciences and who is committed to building a high-preforming team.
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Proficient in using Jupyter Notebooks for all sorts of data science tasks such as exploratory data analysis (EDA), data cleaning and transformation, data visualization, statistical modeling, machine learning, and deep learning.
$96,800 - $251,600 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Image Processing, Computational Imaging, Computer Vision; Practical experience with Deep Learning, Machine Learning, or Artificial Intelligence, for images, is preferred; Capable of prototyping Algorithms using MATLAB or Python, and implementing algorithms in C.
$91,200 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Our foundational roots trace back to the visionary expertise of simulation technology leaders from Stanford University and MIT, and our path is propelled forward by substantial backing from top-tier VC firms.
$80,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Candidates should have a deep understanding of AI technologies, including machine learning, deep learning, natural language processing, computer vision, and reinforcement learning.
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Python (XGBoost, H2O, Scikit Learn, Numpy, Pandas, NLTK, Stats models, Deep Learning), Natural Language Processing. - Deep Learning. Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting.
$136,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have a strong background in computer vision, machine learning, and deep learning, as well as experience working with neural radiance fields. Strong background in computer vision, machine learning, and deep learning.
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Experience in next-generation sequencing, bioinformatics, deep learning, software engineering, GTC uses state-of-the-art DNA and RNA sequencing with proprietary data analysis software and algorithms based on AI and machine learning.
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Dr. Terrance Boult and his team at the El Pomar Institute for Innovation and Commericalization (EPIIC) at the University of Colorado Colorado Springs (UCCS) are seeking one or more highly motivated advanced post-doctoral researcher(s) with a strong record of accomplishment in machine learning and computer vision, ideally with incremental learning, deep learning, or open-set learning, and/or with biometrics and computational photography.
$62,000 - $85,000 a yearExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience using cloud computing for machine learning and deep-learning frameworks such as TensorFlow, PyTorch, Keras. A strong knowledge of NLP and/or computer vision with experience in deep learning (Transformers, RNNs, LSTM, CNN etc.
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Overview Are you a a data expert with broad understanding and experience in solving business problems by integrating statistical analysis, machine learning/artificial intelligence, deep learning, Natural Language Processing (NLP) and Large Language Models (LLMs.
$130,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Have experience applying signal processing, image processing, pattern recognition, machine learning, deep learning, or related techniques with respect to signal extraction from sensors.
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Experience with Deep Learning methods in NLP & computer vision, sentiment analysis, topic modeling and graph theory and databases. Deep Learning experience (NLP/Computer Vision): experience using Pytorch, Tensorfllow or Keras.
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mit deep learning jobs Title: consultant
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