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What we need to see: MS or PhD level education in Engineering or Computer Science with a focus on Deep Learning, Artificial Intelligence, or a related field, or equivalent experience.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with deep learning frameworks such as Keras, Tensorflow, Pytorch, etc. Applying deep learning frameworks to challenges in social and behavioral science domains.
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Design, implement, deploy, and maintain deep learning and Client models using cloud technologies (e.g., Azure Databricks, MLFlows and Azure Client) Experience in deep learning neural networks (auto-encoders, feedforward networks, RNNs/CNNs, etc.
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Experience with building machine/deep learning models with at least one common framework such as PyTorch, Tensorflow, or JAX. PhD in a scientific discipline and a minimum of 5 years related experience; may include post-doctoral experience; Masters and 7 years of related experience; Bachelors and 9 years of related experience in data engineering, systems engineering, machine learning and operations, MLOps, or similar roles; or equivalent industry experience.
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We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics.
$7,650 - $11,333 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in advanced machine learning techniques, including deep learning, data mining, clustering, regression models, predictive modeling, optimization, and ranking. Proficiency in ML and Deep learning libraries in Python (MLlib, PyTorch, Keras, TensorFlow, etc.
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Experience in machine learning, deep learning, information retrieval, natural language processing or data mining. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Completed MSC (PhD preferred) in Visual Computing, Computer Vision, Computer Graphics or research industry experience with Deep Learning and Visual Computing. Demonstrable experience with Deep Learning based models for virtual avatar reconstruction and animation.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
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A PhD degree in Machine Learning or Deep Learning is a massive plus. Keep track of emerging tech and trends, research the state-of-art deep learning models, prototype new modelling ideas, and conduct offline and online experiments.
$200,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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PhD or Masters's Degree in Computer Science, Mathematics, or Statistics a similar technical field of study with a specialisation in Machine Learning, Data mining, Information Retrieval or Data science.
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PhD in computer science or learning sciences with a focus on NLP, computational linguistics, or a closely related discipline. Develop, train, evaluate, and publish deep learning models, especially NLP models, leveraging educational big data.
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Learning models which leverage deep neural networks, biomedical signal processing algorithms, etc. Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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