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You will develop "intelligent" features and deliver outstanding business outcomes leveraging Machine Learning, Deep Learning and NLP. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Good foundation in Machine Learning (ML), Deep Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Tagged as: Industry , Language Modeling , Machine Learning , Natural Language Processing , NLP , Unspecified.
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This position presents a distinctive chance to embed powerful AI capabilities into Apple's ecosystem, positively impacting billions of users worldwide Key Qualifications Experience: A minimum of 3 years of hands-on experience in developing and deploying machine learning models, emphasizing Natural Language Processing (NLP) and voice-based conversational systems.
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We expect you to have solid experience in content understanding domain including but not limited to CV, NLP, Multimodal, and LLM. This position will work with a team of excellent research scientists and machine learning engineers to propose, develop, and implement innovative content understanding models and scale them to improve the experience of billions of Tiktok users around the world.
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Deep knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX. Master's degree or PhD in NLP/speech synthesis/speech recognition or adjacent fields. Ability to foster innovation by leading teams with a growth mindset of experimentation, learning, and iteration.
$300,000 - $400,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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We are seeking a Staff Data Scientist (+5 years of ML industry experience) with expertise in Generative AI (Large Language Models, Multi-Modal Generative AI, Retrieval Augmentation, Multi-language agent pipelines), machine learning focusing on NLP-LLMs, recommendation systems, customer understanding, and (un)supervised clustering.
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Rich experience and understanding of NLP, solid foundation in Machine Learning such as optimization, sparsity, etc. The Applied Machine Learning (AML) team serves as ByteDance's central AI organization.
$194,000 - $410,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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FedML's researchers and software engineers and product teams are busy developing the next-generation FedML platform for machine learning and artificial intelligence and we're looking to grow our team with skilled professionals who bring fresh ideas from all areas, including machine learning and its applications, computer vision, natural language processing, large-scale system design, distributed/cloud computing/systems, MLOps, security/privacy, mobile/IoT systems, and networking.
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Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience. - Optimize various basic algorithms such as NLP, vision, multimodal, search, graph, LLM, etc.
$136,800 - $359,720 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In-depth knowledge of deep learning learning algorithms especially for NLP and LLM. I have been working at Nutanix since May 2021, primarily on the machine learning algorithm side but also in areas like MLOPs lifecycle management, data preparation, and deployment.
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). 7 years of experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition.
$167,000 - $256,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Practical hands on experience with: NLP (especially operationalization in production models), Advanced machine learning techniques and tools (especially Tensorflow), modern Data Analytics & Visualization tools (Looker preferred.
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At least one year of experience in the Machine Learning or AI domain, working with technology infrastructure related to Deep Learning, Large Language Models (LLM), Generative AI (GAI), Natural Language Processing (NLP), or other areas.
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