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A strong background in computer science, computational biology, bioinformatics, or related fields is preferred, along with extensive experience in machine learning methodologies and large datasets.
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IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. Master's degree or higher in a technical field such as physics, computer science, or engineering and/or an MBA.
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PhD in Engineering or Science with preference in Quantum Computing, Physics, Electrical Engineering, or Computer Science. B.S. in physics, mathematics, engineering, computer science, or other technical field.
$230,369 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Conduct state-of-the-art research to advance the science and technology of the core components of our services by conducting research on sequence prediction models for NLP, large-scale neural language models, large-scale hierarchical classification models, natural language understanding, and deep learning methods for mining product catalogs.
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Key Responsibilities Drive applied science projects in machine learning end-to-end: from ideation over prototyping to launch. Experience with neural deep learning methods and machine learning.
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Bachelor's degree or higher in Engineering or Science. Additional experience desired with semiconductor, optics, and photonics components, opto-electronic modules, vacuum assemblies, and cryogenic systems.
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Comprehensive understanding of machine learning and NLP algorithms, with hands-on experience in frameworks like Scikit-Learn, TensorFlow, and PyTorch. and working knowledge of deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face.
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The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation.
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Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.) - Proficient in using at least one mainstream deep learning framework such as TensorFlow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods.
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Qualifications:Master's or PhD in Computer Science, Robotics, AI, Machine Learning, or a closely related field, with a strong emphasis on autonomous systems. and deep learning libraries (TensorFlow, PyTorch) along with experience using simulation and visualization tools.
$188,640 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will have a degree in electrical engineering or computer science, with expertise in patent prosecution related to electrical engineering, software, data science/AI, networking technologies, and machine learning/artificial intelligence.
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Bachelor’s degree in a technical field such as physics, computer science, or engineering. Immerse yourself in IonQ’s unique flavor of quantum computing (hardware and software), its advantages, and overall considerations.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
$218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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If you can partner closely with business leaders, Product Managers, Data Scientists, Economists, Research Scientists, Software and Machine Learning Engineers to build end-to-end deep learning forecasting solutions from the ground up and are ready to accelerate your career and grow your skills beyond what you could imagine, apply today.
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Work on Advanced Security Features development of new concepts and technology that apply to commercial aviation products (including machine learning, deep learning & artificial intelligence.
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machine learning science deep jobs Title: associate in Seattle, Bentonville, Kansas
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