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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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The team As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.
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As a Precision employee, you will be collaborating with experts across a diverse array of fields–including neurosurgery, mechanical engineering, machine learning, and microfabrication–to push the boundaries of what is possible.
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Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in timely manner to automatically tackle the issues or provide recommendations for the next step of solving problem.
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6+ years of experience with software development in one or more programming languages, machine learning algorithms and tools (e.g., PyTorch), artificial intelligence, deep learning and/or natural language processing.
$385,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Proven track record on efficient deep learning and/or model optimization techniques with foundation models. Apply model optimization, efficient deep learning techniques and ML software improvements.
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Apple's Applied Machine Learning team has built systems for a number of large-scale data science applications. Join Apple's Applied Machine Learning Team, as a Senior Software Engineer, to enable GenAI across our Applications & Platforms.
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The Foundation Model Infrastructure team, within Machine Learning Platform Technologies organization, is the backbone of Apple Intelligence. AIML - ML Engineer, Machine Learning Platform & Infra.
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Deep expertise in machine learning algorithms, neural networks, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical modeling. Ph. D. or Master's degree in Computer Science, Electrical Engineering, Neuroscience, or a related field with a focus on machine learning, artificial intelligence, or signal processing.
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Human machine interface; sensor, identification/recognition/tracking, computer vision, and deep learning, measuring engagement. Machine learning applied to computer vision problems.
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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.
$340,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
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Within this ecosystem, the Neuron Compiler team is developing a deep learning compiler stack that takes state of the art LLM and Vision models created in frameworks such as TensorFlow, PyTorch, and JAX, and makes them run performantly on our accelerators.
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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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We are seeking an experienced Director of Machine Learning to lead our efforts in developing cutting-edge machine learning solutions for brain-computer interface (BCI) applications.
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vision machine learning jobs Company: Kforce Inc in Mountain View, CA
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