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Familiarity with advanced statistical and machine learning techniques such as clustering, gradient boosting machines (GBM), support vector machines (SVM), neural networks (e.g., ANN, RNN, CNN), and other deep learning algorithms is a plus.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.) Experience in one of the following fields: machine learning, NLP, and computer vision.
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Expertise with tools and platforms commonly used for end-to-end machine learning (Kubeflow, TFX, Airflow, MLflow, Fltye). Architect, build and scale a Machine Learning Platform that powers a state of the art ML model lifecycle management experience to users across Max, HBO, Discovery+ and other WBD offerings.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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What the ideal candidate looks like:Responsibilities:Architect, build and scale a Machine Learning Platform that powers a state of the art ML model lifecycle management experience to users across Max, HBO, Discovery+ and other WBD offerings.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training. Strong working knowledge of deep learning, machine learning and statistics.
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Are you looking to work at the forefront of Machine Learning and AI? Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
$105,100 - $204,300 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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In particular, hands-on experiences with deep learning models (DNN, Attention, CNN, RNN) and frameworks (PyTorch, TensorFlow, Keras, etc.) Understanding of state-of-the-art machine learning and deep learning technologies.
$112,000 - $218,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Senior Software Engineer - AI / CV, you will be a champion for the design, development and integration of the machine learning and computer vision components of the Aigen software stack.
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In particular, hands-on experiences with deep learning models such as ( Diffusion Neural Networks (DNN), Attention, Convolution Neural Networks (CNN), Recursive Neural Networks (RNN) and frameworks (PyTorch, TensorFlow, Keras, etc.
$200ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Deep understanding of Machine Learning including deep learning, statistics fundamentals, human-computer interaction, CNN/RNN, transformer models, LLMs (RAG), privacy-preserving ML, and security fundamentals.
$145,000 - $240,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Production experience implementing, maintaining, and improving machine learning pipelines and models at scale in Python, Java, Scala, or similar languages. Deep knowledge in multiple ML methodologies, such as LLMs, Foundation Models, Recommendations & Search, Causal Machine Learning, Interpretable ML, Multi-Armed Bandits, Reinforcement Learning and Constrained Optimization.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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General Machine learning (DNN, CNN, RNN, GenAI LLM) Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
$204,000 - $281,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Should be able to understand internals of ML models such as Random Forest, CNN, Regression models, etc. Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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2 years of experience in: Processing Big data using BigQuery and Apache Hive; Building deep learning models using Pytorch and Tensorflow; and Building and using different types of neural networks, such as Recurrent Neural Networks (RNN), Convolutional Neural Networks (CNN), or Graph Neural Networks (GNN.
ExpandApply NowActive JobUpdated 9 days ago
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