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As a Staff AI Scientist, you will positively impact customers by utilizing machine learning (ML) applications and will contribute to the organization's success by providing technical guidance, leadership, and expertise in artificial intelligence (AI), Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and Deep Learning.
$164,900 - $226,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive exp in any deep learning framework, such as PyTorch, JAX, TensorFlow. Extensive exp in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record.
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2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
$133,000 - $194,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with one or more of popular Deep Learning frameworks such as Caffe, TensorFlow, Theano. We have 2,000+ locations world wide with customers across a wide spectrum of verticals including the NFL, MLB, Circle K, ampm, Aramark and Compass Group.
$500,000 - $1,000,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Stanford Vision and Learning (SVL) Lab is initiating a new research engineer position, designed to give you hands-on experience in cutting-edge research at the intersection of artificial intelligence and robotics.
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SRI's Artificial Intelligence Center (AIC) advances the most critical areas of AI and machine learning. Experience with machine learning frameworks such as PyTorch, TensorFlow and Scikit-Learn.
$117,545 - $174,545Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience training and deploying state-of-the-art CV models using popular machine learning frameworks, such as TensorFlow or PyTorch. Graduate degree with a concentration in CV, artificial intelligence, machine learning, or related fields.
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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. 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, and/or natural language processing.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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We don't expect you to have experience with our stack (Google Cloud Platform, Python, Tensorflow, Kubeflow, PyTorch, FastAPI, Kubernetes), but we do look for demonstrated mastery of your chosen development stack and a desire to learn new technologies.
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Proven experience of JAX or similar ML frameworks (e.g. Tensorflow) is highly desirable. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.
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5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing. 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
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Experience with a deep learning package, e.g. Tensorflow, PyTorch. As an ML/AI engineer at Notable, you'll work on developing and deploying machine learning models which provide the intelligence powering robotic processes that underpin critical healthcare workflow automation.
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Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc. As a machine learning serving engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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Familiarity with MLOps practices, frameworks (TensorFlow, PyTorch), and tools is a plus. Demonstrated experience in building, deploying, and managing Machine Learning (ML) and Artificial Intelligence (AI) platforms and services.
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Fluent in one or more Machine Learning Frameworks (e.g. Pytorch, TensorFlow, scikit-learn, etc). Knowledge of business intelligence (e.g. Power BI) and development tools (Azure Dev Ops, GitHub.
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