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Deep Learning Ninja: Proven experience in designing and implementing machine learning solutions utilizing GCP and various algorithms (e.g., TensorFlow, PyTorch). As a Machine Learning Engineer specializing in Google Cloud Platform (GCP), youll lead the charge in developing and deploying cutting-edge solutions that extract valuable insights and drive tangible business outcomes.
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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
$122,200 - $220,900 a yearExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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As a machine learning engineer, you'll have the opportunity to immediately drive a huge, direct impact for Propel! Lead Propel in building machine learning infrastructure that all teams can take advantage of.
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Abile Group has an exciting and challenging opportunity for a Machine Learning Engineer on a 10 year contract providing User Facing and Data Center Services supporting an Intelligence Community customer.
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Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions.
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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry’s ML team and technology.
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Exceptional Expertise: PhD in any field plus 12 graduate-level credits in machine learning or artificial intelligence with an emphasis in neural networks & Minimum 2 years' experience designing, researching, or engaged in developing algorithms and software applications for neural networks in Python; solid knowledge of neural networks and deep learning algorithms and applications.
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We are seeking a talented and skilled Machine Learning Scientist II to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better health care.
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Relevant Keywords: Large Language Models, Machine Learning, Python, Deep Learning, Gemini, GPT, GPT-3, GPT-4, Synthetic Data, ML Fundamentals, Pytorch, TensorFlow, Data Engineering, Data Preprocessing.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. Passionabout continuously learning new technologies, frameworks, and services.
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Experience utilizing CUDA and NVIDIA GPU accelerated libraries for AI, machine learning, and deep learning tasks. Experience with deep learning and machine learning libraries including PyTorch, TensorFlow, Keras, and scikit-learn.
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Full-time onsite in Waynesboro, VA. You would be joining our software engineering department to build machine learning models optimizing energy efficiency for heavy industrial refrigeration / cold storage facilities.
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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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SRC, Inc. ( is seeking a lead engineer to work in the machine learning (ML) and artificial intelligence (AI) domains for our Syracuse, NY. The rapid advancement of deep learning continues to enable new and innovative applications, solutions, and capabilities for our products, including ground and airborne radar systems, electronic warfare (EW) systems, optical sensors, and more.
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GCS Prescient Design is seeking an exceptional Senior Machine Learning Engineer to develop our LLM and AI product and enable the next generation of foundational research in machine learning for scientific discovery.
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