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Research Engineer - Computer Vision & Machine Learning Responsibilities. 2+ Experience with computer vision/machine learning libraries such as OpenCV / Torch. Currently has or is in the process of obtaining a PhD degree or postdoctoral assignment in the field of Computer Vision, Machine Learning, Computer Graphics, Robotics or similar.
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Your background should be in Machine Learning and Deep Learning, including model building, a strong understanding of algorithms and data structures. You'll really stand out if you're an author of research publications at top-tier conferences.
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As a Research Engineer specializing in Machine Learning and Systems Engineering at our company, you will be instrumental in pioneering sophisticated AI solutions. Lead and manage end-to-end machine learning research projects, from conceptualization to deployment, ensuring that they align with strategic business goals.
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Master’s, or Ph. D. degree in Computer Science, Electrical Engineering, Robotics, or a related field with a focus on machine learning or artificial intelligence. as well as proficiency in relevant machine learning frameworks (e.g., TensorFlow, PyTorch.
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Minimum of 5 years of hands-on experience in machine learning model development, with expertise in PyTorch, JAX or TensorFlow. Employ rigorous testing and iterative improvement processes to optimize the performance and accuracy of machine learning models.
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Familiarity with Machine Learning and NLP and willingness to learn more on the job. ML experience as an ML engineer, Data Scientist, or another similar role. You would be a great fit for this role if you are an experienced engineer who will be instrumental in building the world's best LLMs by collecting and refining the essential training data that powers them.
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As an Applied Research Engineer, you’ll design and build the infrastructure, tools, and libraries needed to train, experiment, debug, and launch machine learning models at scale.
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Experienced in using different machine learning libraries and tools (e.g. TensorFlow) Experience in wireless communication, signal processing and machine learning. Publish research work in the form of patents and conference/journal publications.
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Strong background in AI, particularly in areas relevant to theorem proving (e.g., machine learning, natural language processing). Excellent programming skills and experience with machine learning frameworks.
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The team will be focused on heavily leveraging machine learning to marry perception, prediction, and action to produce robust, reactive, coordinated robot behaviors, bootstrapping from simulation, leveraging large amounts of data, and adapting in real world scenarios.
$151,800 - $218,213 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Master's or PhD in Electrical Engineering, Computer Science, Robotics, or a related field, with a focus on sensor fusion, signal processing, or machine learning. Expertise in programming languages and tools critical for high-performance computing and machine learning, including C.
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5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, and/or natural language processing. we publish regularly in academic journals, release projects as open source, and apply research to Google products.
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Define, lead, and execute applied research projects in AI, focusing on Large language models, neural networks, deep learning, and machine learning modeling. Ph. D. in NLP, Neural Networks, Deep Learning, or related ML/AI areas.
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As a Machine Learning Research Engineer, you can access unique Samsung proprietary data to develop and deploy a broad spectrum of large-scale machine learning products with real-world impact.
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Investigate new technologies using a combination of bench testing and human studies Assemble test hardware from commercially available devices or define and build prototype hardware when required Develop signal processing algorithms and train machine learning models using collected data Distill and interpret findings to inform sensor and algorithm specifications, to prove (or disprove.
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machine learning jobs Title: research engineer in Menlo Park, CA
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