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Bachelor's degree + 4 years or Master's degree + 2 years or Ph. D. in Computer Science, Electrical and Computer Engineering, or related fieldProficiency in PythonExperience with deep learning libraries (PyTorch, TensorFlow, etc.
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We are looking for Machine Learning Engineers to join the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and develop a variety of innovative computer vision detection, classification, localization, and tracking solutions for defense and commercial applications.
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Considerable knowledge of various machine learning algorithms and their applications, including Random Forest, GBM, XGBoost, deep learning, NLP, computer vision, multi-modality. Proficiency in Python, and experience with deep learning frameworks such as PyTorch, Tensorflow/Keras, MXNet.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Expert knowledge of deep learning applied to a relevant domain like NLP or representation learning, e.g. RNNs, LSTMs, Transformers and associated libraries - tensorflow, keras, or pytorch.
$138,700 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Job Description We're looking for an AI/ML Scientist who loves to solve complex problems and has experience with Natural Language processing and Machine learning. Bachelor’s Degree or equivalent industry experience in mathematics, statistics, machine learning, natural language processing.
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We employ cutting edge signal processing and machine learning techniques and are looking for a senior level candidate to lead the way in machine learning. Research and develop machine learning methods for audio signal processing and create innovative solutions for wearable devices and related accessories.
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Experience with standard machine learning tools, libraries, and infrastructure solutions such as Scikit-learn, Pandas, PyTorch, TensorFlow is a plus. We are looking for a Machine Learning Engineer who is passionate about harnessing the power of AI/ML to make a real difference in the healthcare sector.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The Machine Learning Engineer will be responsible for software development, optimizing hardware and infrastructure, designing data pipelines, and implementing robust AI solutions for real-world use cases.
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Knowledge of Machine Learning / Deep Learning, including Python libraries like TensorFlow and PyTorch. Working knowledge of various analytic and statistical methods (i.e., data analysis, statistics, operations research and/or machine learning) with application to business problems.
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We seek a talented and dedicated software engineer to support Machine Learning/Natural Language Processing (ML/NLP). Demonstrated proficiency in applicable programming languages such as Python, Java, SQLExperience with ML and NLP libraries (e.g., TensorFlow, PyTorch, NLTK, spaCy, Scikit-learn.
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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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Possess deep functional and technical understanding of the Machine Learning technologies (Googles Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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Strong grasp of AI principles, including machine learning, deep learning, natural language processing, and computer vision, along with their applications. Mathematical foundations for AI, such as linear algebra, calculus, and statistics, plus algorithms specific to machine learning and data processing.
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