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Experience with distributed training techniques for machine learning models, leveraging deep learning frameworks such as TensorFlow, PyTorch, or JAX to accelerate model training and handle large datasets efficiently.
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Would you like to work with world-class systems architects and deep learning professionals to define the next generation CPUs and System on Chips? NVIDIA is developing processor and system architectures that are at the forefront of accelerating machine learning, building data centers, and enabling other high-performance computing applications.
$216,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Familiarity with Machine Learning and Deep Learning solutions would be a big plus. 3) Deep Learning for regression, classification and Generative models. 2) Traditional machine learning using Random Forest, XG Boost, Logistic Regression.
$98,500 - $167,500 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Proficiency with a deep learning framework such as TensorFlow, Pytorch. Good understanding of Machine Learning Algorithms & Deep Learning Algorithms. Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas in Jupytor Notebook.
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Experience in NLP, computer vision, deep learning techniques. Develop and implement machine learning models and algorithms to support our program objectives. Minimum of 3 years of experience in machine learning and data analysis.
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Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences. You must have deep technical experience working with technologies related to artificial intelligence, machine learning and/or deep learning.
$125,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Contribute to technical feasibility and applying latest computer sciences algorithm and methods into semiconductor data analysis system, improve design of highly scalable and highly available system, conduct machine learning and deep learning related feasibility project.
$22.1 - $42.5 an hourFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD in Computer Science, Operations Research, Statistics or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Passion for innovation, learning, and solving challenging problems with cutting-edge technologies, with the ability to identify trends and create new business opportunities. Deep expertise in data and AI, including data strategy, governance, architecture, engineering, analytics, and artificial intelligence solutions.
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Implement and integrate the production grade deep learning trainings, evaluation and model conversion of the perception machine learning stack (pytorch, AWS, Kubernetes) Starting with data selection, following training, evaluation and deployment, in the end, our machine learning models make our trucks perceive the world.
$139,000 - $166,800 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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PhD in Computer Science, Operations Research, Statistics, or highly quantitative field with strength in Deep Learning, Machine Learning, Data Analytics, Statistical or other mathematical analysis.
$126,000 - $163,800 a yearExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Proven expertise in implementing distributed training techniques for machine learning models, utilizing deep learning frameworks such as TensorFlow, PyTorch, or JAX to accelerate model training and efficiently manage large datasets.
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Experience with deep learning frameworks (such as PyTorch, JAX, or TensorFlow) and deep learning architectures (especially Transformers). We’re looking for a Director of Machine Learning Engineering with expertise and passion in building teams, coaching individuals, and solving difficult problems in LLM (Large Language Model) training and serving infrastructure.
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Experience in deep learning frameworks such as PyTorch or TensorFlow. Research background in Computer Vision, Deep Learning, Machine Learning, or related field(s). Experience with cutting-edge machine learning research and/or engaged and collaborated with the research/open-source community Eleuther, Carper, LAION, Open Assistant etc.
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deep learning jobs in Austin, TX
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