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Strong background in Deep Learning and classical Machine Learning, including but not limited to CNN/RNN architectures, GAN, active learning, k-shot learning and model complexity reduction techniques.
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Strong Machine Learning background with deep understanding of different types of machine learning algorithms (e.g., CNN, RNN, LSTM, Transformer, and Reinforcement Learning.
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Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM,. Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet), familiar with its architecture and implementation mechanism.
$168,150 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer) 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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Data Science | Machine Learning | Statistics | Mathematics | Health-tech | Electronics | Wellbeing | Applied Science | Generative AI | Artificial Intelligence | Multimodal | Speech | Audio | Text Extraction | Stakeholder Management | Technical Leadership | Natural Language Processing | NLP | Computational Linguistics.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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MAIN SKILLS – Experience working in an AWS Cloud environment, Proficiency in Python, Strong experience in ML frameworks and libraries such as PyTorch or TensorFlow, Experience with FEA software (e.g., Abaqus) and scripting, including element technologies and material models, Solid understanding of deep learning architectures such as CNN, RNN, and transformers, Hands-on experience with large-scale data processing and analysis.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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FEA Engineer / Software Engineer / Machine Learning Engineer. Title: Machine Learning Engineer (Software Engineer III), Req# 33807056. Solid understanding of deep learning architectures such as CNN, RNN, and transformers.
$82 an hourExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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What are we looking for in our FEA Engineer / Software Engineer / Machine Learning Engineer? The ideal candidate will have a strong understanding of both FEA and modern deep learning techniques, hands-on experience in designing and training ML models, and a proven record of deploying models in relevant applications such as computer vision.
$80 an hourExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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2+ years of experience with machine learning algorithms, such as transformer or CNN. We are looking for a Firmware Engineer with experience validating machine learning accelerator silicon with high-speed interfaces.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Participate in the application and optimization of machine learning algorithms in products such as Douyin (TikTok) and Toutiao. Knowledge of deep learning algorithms (CNN/RNN/LSTM/RL, large-scale Sparse&Dense models for recommendation and advertising, etc.
$389,500 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Implement machine learning/ deep learning models (supervised learning, reinforcement learning) for the following tasks: 2D/3D object detection, semantic segmentation, depth estimation, traffic (time or speed) prediction and driving behavioral learning etc.
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PXTCS is an interdisciplinary team that uses economics, behavioral science, statistics, and machine learning to identify products, mechanisms, and process improvements that both improve Amazonian’s wellbeing and their ability to deliver value for Amazon’s customers.
$222,200 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Staff Applied Machine Learning Software Engineer - Generative AI. Solid understanding of CNN, Transformer model architectures, LLMs, Stable Diffusion models. Optimize deep learning inference pipeline including graph compilation using AMD AI compilers.
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Masters with at least 1-2 years of experience; Strong software engineering practices in Python with machine learning experience in a production setting. As a Computer Vision Engineer, you will contribute to state-of-the-art machine learning infrastructure and relevant software (e.g. supervised learning, reinforcement learning, data management, and evaluation at unparalleled scale.
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Deep, wide and current knowledge in machine learning and modern deep learning is required. Hands-on experience with CNN, RNN, Transformer neural network architectures. You will be joining a team of exceptional people enthusiastic about researching and developing state-of-the-art efficient deep learning techniques tailored for d-Matrix's AI compute engine.
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