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Academic and commercial groups around the world are powering a revolution in AI using deep learning techniques running on NVIDIA GPUs, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and autonomous vehicles.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning. We are seeking a talented Data Scientist with a strong focus on LLM (Large Language Models) and Deep Learning to join our team.
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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2 years applied machine learning experience in a professional setting, familiar with at least one mainstream deep learning framework, such as TensorFlow or PyTorch. We are looking for a Machine Learning Engineer or Senior Machine Learning Engineer that will be working on different aspects of recommendation and user growth new initiatives, and the product will greatly impact Weee.
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Deep understanding of NLP fundamental concepts and models, such as language modeling, word embeddings, topic modeling, text categorization, information extraction, natural language understanding, transfer learning.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge and experience developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
$159,324 - $245,544 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experiment with various machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, and ensemble methods.
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Our Data, Science & Analytics team works across our big data cloud platform and data supply chain, using advanced analytics, machine learning, AI, and deep learning methods to make an impact across our entire data ecosystem.
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Developing and training machine learning models using Natural Language Processing (NLP) techniques. Advanced degree (Ph. D. preferred) in a field like Applied Linguistics, Computational Linguistics, or Data Science, with a focus on building and deploying machine learning models for text analysis.
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In depth understanding of Machine Learning / Deep Learning / NLP concepts. Experience in developing and maintaining AI or machine learning infrastructure, preferably in the context of large language models.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2+ years of experience working with modern AI capabilities in machine learning, including deep learning and natural language processing, and LLM frameworks. Experience with project work in deep learning, computer vision, NLP, or chatbot development.
$125,600 - $285,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in machine learning, deep learning, information retrieval, knowledge graphs, natural language processing or data mining. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs.
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PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
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Strong foundation in Machine Learning (ML), Deep Learning, LLMs and NLP. Extensive experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc.
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Machine Learning Techniques : In-depth understanding of various machine learning techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing.
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machine learning natural language deep jobs Title: director Company: Intuit
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