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Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
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Expertise in a variety of Deep Learning architectures and models including Residual Networks, RNN/CNN, Transformer, and/or Transfer Learning in a production environment. Machine Learning Engineer.
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Apply techniques such as classification, clustering, regression, NLP, deep learning (CNN, RNN, GANs), time series forecasting, Bayesian methods to build scalable solutions. Apply techniques such as classification, clustering, regression, NLP, deep learning (CNN, RNN, GANs), time series forecasting, Bayesian methods to build scalable solutions.
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Experience with Deep Learning (ANN, CNN, RNN, Auto-encoders, GAN, etc.) Use techniques from supervised and unsupervised machine learning, statistical analysis, or predictive modeling to deliver business insights to prospects and customers.
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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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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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Expertise with Deep Learning implementations for imaging (e.g. Super-resolution, deconvolution, Denoising Diffusion generative models, NERF models, GANs, latest mobile-friendly CNN architectures, Image/Video Transformers etc) with PyTorch or Tensorflow.
$145,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Use Deep Learning models like CNN, RNN and NLP (BERT) for solving various business use cases like name entity resolution, forecasting and anomaly detection. Expertise in Python, PySpark, and deep learning frameworks like TensorFlow, as well as proficiency in MLOps.
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Completed MS in Visual Computing, Computer Vision, Computer Graphics, 3D Vision, or related field industry or research experience with deep learning and computer vision. Familiarity with Transformer, CNN, GAN architectures.
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Previous experience working with deep learning frameworks and architectures such as MXNet, TensorFlow, PyTorch, CNN/RNN/LSTM, Autoencoders, Transformers. Phd/MTech/MS in Computer Science, Artificial Intelligence/Machine Learning, Mathematics or Statistics.
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Use machine learning and artificial intelligence to develop models, using both structured and unstructured data sets for analysis. Use mathematics, statistics, machine learning, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions.
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Deep NN algorithms: MLP, RNN, LSTM, CNN, GRU. Deep reinforcement learning (Bellman equations, MDP, policy optimization, credit assignment, or multi-agent) PubMatic is immediately hiring a Machine Learning Staff Engineer to join our growing team in Redwood City on a hybrid schedule.
$230,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with deep learning algorithms (CNN/RNN/LSTM, etc. Familiarity with at least one mainstream deep learning programming framework (TensorFlow/Caffe/MXNet) and its architecture and implementation mechanism.
$187,040 - $280,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apply state-of-the-art machine learning techniques to optimize advertisers' marketing strategies. We are looking for strong Machine Learning Engineers who are excited to grow their business understanding, build highly scalable and reliable software, and partner across disciplines with global teams in pursuit of excellence.
$129,960 - $194,750 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A master or Ph. D. is highly preferred 5+ years of industrial experience (relevant research experience for master/Ph. D. may be counted as industrial experience) Deep understanding and experience with ML/AI, deep learning algorithms and development (CNN, TCN, RNN, GAN, Transformer, Transfer Learning, Contrastive Learning, Novelty Detection, etc.
$120,000 - $160,000 a yearExpandApply NowActive JobUpdated Today
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