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Contributions to open-source deep learning projects, particularly those focused on ROCm or AMD GPU acceleration. Contribute to open-source deep learning libraries like PyTorch, advocating for and implementing ROCm support and enhancements.
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Collaboration is at the heart of what we do, and you will have the chance to work closely with a diverse range of teams at NVIDIA, including the Applied Deep Learning Research teams, CUDA Kernel and DL Framework development teams, and the Silicon Architecture Team. In this position, you will actively engage with internal stakeholders, users, and members of the open-source community.
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We are now looking for a Senior Deep Learning Software Engineer, for Algorithmic Model Optimization! As a Senior Deep Learning Software Engineer, you will be at the forefront of pushing the boundaries of these models and enabling their deployment at a larger scale with unmatched efficiency.
$216,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ideally you've worked with most or some of the following: Computer Vision, Radar, SAR, Lidar, Matlab, Deep Neural Networks, pandas, NumPy, Keras, PyTorch, scikit-learn, and open source frameworks.
$120,000 - $190,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Were always striving for peak GPU efficiency on current and future-generation GPUs. To get a sense of the code we write, check out our CUTLASS open-source project showcasing performant matrix multiply on NVIDIAs Tensor Cores with CUDA. This specific position primarily deals with code lower in the deep learning software stack, right down to the GPU HW.What you'll be doing:Writing highly tuned compute kernels, mostly in C.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. You’re comfortable with open-source languages and are passionate about developing further.
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Publications or contributions to open-source projects related to transformer architectures, vector databases, or language models/ natural language processing are a strong advantage. Proficiency in Python, and experience with deep learning libraries/frameworks (TensorFlow, PyTorch.
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At least 1 year of experience in open source programming languages for large scale data analysis. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
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Contribute to and engage with open-source communities in LLVM, MLIR and IREE. Maintain high level of code quality and testing. The person must also enjoy working in open-source projects like MLIR, LLVM and IREE and be able to engage with the community effectively.
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As a Data Scientist at Capital One, you ll be part of a team that s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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We are now looking for a Deep Learning Software Engineer, for Algorithmic Model Optimization! Collaborate with internal and external partners to accelerate the adoption of deep learning model optimization.
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11 West 19th Street (22008), United States of America, New York, New YorkPrincipal Data Scientist - Fraud, Deep Learning. Utilize Deep Learning and Sequence Modelling techniques to build Fraud models.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Our mission advances economic empowerment through the power of decentralized solutions, built open source and collaboratively.
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The Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
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Develop and implement state-of-the-art deep learning models leveraging transformer architectures applied to massive semi-structured text from job profiles (resumes, job postings, performance reviews, etc.
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open source jobs Title: deep learning in Wailuku, Hawaii
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