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Familiarity with open source python NLP and machine learning libraries such as NumPy, SpaCy, scikit-learn, Pandas, Keras, and Tensorflow. 5+ years of hands-on experience as a machine learning engineer or data scientist with at least 2 years focused on Natural Language Processing.
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Strong background in artificial intelligence and machine learning, including experience with deep learning frameworks like TensorFlow or PyTorch, for evaluating advanced document processing algorithms and models.
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Key Responsibilities:- Design, develop, and deploy advanced machine learning models and algorithms, leveraging deep learning frameworks such as PyTorch and TensorFlow. - Extensive experience with machine learning frameworks like PyTorch and TensorFlow.
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Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Keras. We are seeking a highly motivated Machine Learning Engineer Co-Op from July 2024 to December 2024, focusing on Natural Language Processing (NLP) and Computer Vision applications.
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Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
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Data science, machine learning, optimization models, Master's degree 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.
$90,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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The Specialized Products & Advanced Research Capabilities (SPARC) Group is seeking a Principal Machine Learning Researcher to be part of a multidisciplinary team of researchers and engineers dedicated to developing cutting-edge technologies with significant and immediate impact on our national security.
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Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.) We are seeking a highly motivated machine learning and AI Principal Scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization.
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Experience in developing on or using deep learning frameworks (e.g., PyTorch, TensorFlow, ONNX, etc.) These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Behavior Prediction, Planner, Maps and Research, ensuring greater degrees of consistency and repeatability, and addressing the "last mile" of getting models into production and managing them once they are in place.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch.
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods.
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Understanding of containerization technologies like Docker for packaging machine learning models and deploying them in production. Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment.
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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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Proficiency with a deep learning framework such as PyTorch, TensorFlow, or Keras and and/or natural language processing using NLTK, spaCy, Gensim, etc. Apply your advanced understanding of machine learning principles, including advanced analytics tools, applied mathematics, ML and Deep Learning frameworks and libraries, and ML techniques to design, build and support machine learning to achieve high quality generative AI user experiences.
$74,800 - $178,200ExpandApply NowActive JobUpdated Today
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