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Proficiency in programming languages such as Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). Strong expertise in biological signals, including EEG, ECG, and EMG. Proven track record of designing, implementing, and deploying machine learning models.
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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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Strong familiarity with topics of protein and macromolecular structures and interactions with other proteinsExperience with cloud environments such as AWSExperience in developing machine learning platforms using modern ML frameworks for deep learning (, tensorflow, keras, MXNet) & deploying in services such as Amazon Sagemaker.
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Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer.
$234,700 a yearRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. GCP Professional Machine Learning Engineer certification is required.
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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 6 days ago - UpvoteDownvoteShare Job
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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. New York City (Hybrid On-Site): $161,900 - $184,800 for Senior Machine Learning Engineer.
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You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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We are seeking a Machine Learning Engineer to join our innovative team. This position is perfect for individuals with a solid background in Machine Learning or Ranking infrastructure, with a distinct advantage for those having 2 years of experience in ML infrastructure, tooling, or backend.
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Experience with machine learning and deep learning and computer vision (TensorFlow and PyTorch) Experiment with machine learning and deep learning algorithms for image enhancement.
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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.
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Knowledge of deep learning and experience with deep learning frameworks (such as PyTorch, JAX, or Tensorflow) The RoleAs a Senior Machine Learning Engineer at Striveworks you’ll be challenged—and trusted—on day one to be a core contributor to the projects and direction of the company.
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MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical fieldStrong understanding of ML techniques such as CNNs, supervised and unsupervised learning, optimization techniques, etcExperience with one or more of popular Deep Learning frameworks such as Caffe, TensorFlow, TheanoExperience in a fast-paced work environment, shipping quality code quickly and iteratingWhat We Offer.
$500,000 - $1,000,000 a yearExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). Experience designing and deploying with one or more of the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
$215,000 - $315,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago
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