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Good understanding of machine learning, deep learning (including LLMs) and natural language processing and ability to optimize machine learning models to adapt to solving various kinds of issues.
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With experience in developing or using major deep learning frameworks (PyTorch, Tensorflow, JAX etc.) NVIDIA’s deep learning and HPC platforms have made a huge impact in various fields and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies.
$339,250 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Good GenAI capabilities with hands-on experience in traditional ML/deep learning. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.
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You have at least 1-3 years of hands-on experience in one or more of the following areas: Autonomous Driving (preferable), Robotics, or Deep Learning in general. and machine learning including Deep Learning frameworks like TensorFlow/PyTorch.
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Preferred Experience Experience with deep learning models and associated AI frameworks (PyTorch, TensorFlow, Jax, Deepspeed, Mosaic, Horovod, Collasal.ai) skills as well as experience with Machine/Deep Learning concepts.
$263,640 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer) Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet.
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As a member of our Mixed-Signal high-speed I/O SerDes group, you'll be working on NVDIA's latest ground breaking technology that enables and accelerates gaming, artificial intelligence, deep learning, and autonomous driving.
$304,750 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning. Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
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Hands-on experience in lithium-ion battery teardown process and characterization of battery components by multiple characterization techniques such as XRD, SEM/EDS or FIB (including sample preparation methods) or related experience.
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Research and implement novel machine and deep learning approaches for Drug Discovery multimodal data, including various "omics" (transcriptomics, proteomics, etc.) You will research, design, develop, and apply new AI/ML solutions for drug discovery and development, where you will lead the progress, validation, and interpretation of deep learning and GenAI-based pipelines for therapeutic modalities ranging from small molecules to biologics and nucleic acids.
$218,625 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Extensive exp in any deep learning framework, such as PyTorch, JAX, TensorFlow. 6+ years of industry experience in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record.
$252,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis.
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Deep knowledge of SAP CRM, SOM, Fiori, Gateway, oData, Advanced ABAP and ABAP. Hands on, in-depth SAP technical knowledge including Fiori, CDS, AMDP, ABAP, HANA, APIs, BTP, Cloud Integration.
$259,500 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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LLM Lead with Deployment experience and NLP experience related to Data Science- Deep Learning. Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning.
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Familiarity with AI concepts and frameworks, such as natural language processing, computer vision, machine learning, deep learning, and TensorFlow. Familiarity with AI concepts and frameworks, such as natural language processing, computer vision, machine learning, deep learning, and TensorFlow.
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