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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Bachelor’s degree AND minimum 6 months experience using one or more of the following: natural language processing (NLP), artificial intelligence techniques, or machine learning in an academic setting (project/internship/lab.
$63,200 - $169,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You have experience in one or more of the following : - recommender systems, predictive modeling, reinforcement learning (e.g., multi-armed bandits), personalized search, computational optimization, natural language processing, deep learning, causal inference especially as applied to e-commerce/marketplaces/email marketing.
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With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation.
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Research experience in machine learning, deep learning, and/or natural language processing. Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Research and apply emerging forms of statistical, machine learning (neural networks / deep networks, ensemble methods, natural language processing, computer vision) and engineering methods to Royal Caribbean Cruise Lines, data science and AI ecosystem.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Experience working with ML/AI products and techniques pertaining to natural language processing, such as optical character recognition, document classification, named entity recognition, machine translation, etc.
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3+ years of research experience in natural language processing, machine learning, and related fields. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
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As a Machine Learning Scientist - Natural Language Processing (NLP) - Vice President in the Machine Learning Center of Excellence, you will have the unique opportunity to apply sophisticated machine learning methods to a wide variety of complex tasks.
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Demonstrated experience in cancer genomics and omics data analyses, including experience with developing pipelines for next-generation sequencing data analysis and QC. + Excellent programming skills (including R, Python, SAS) and deep-knowledge for statistical analysis and machine learning.
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Demonstrated 4+ years' hands-on experience with Python, SQL, Natural Language Processing (NLP), Large Language Model (LLM), TensorFlow/Pyspark/ or Keras is highly preferred.
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Demonstrated experience in leveraging AI and machine learning techniques to enhance Customer service operations/Consumer Journey, such as predictive analytics for forecasting Customer needs, natural language processing for chatbot implementation, and sentiment analysis for Customer feedback interpretation.
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Experience in developing and maintaining AI or machine learning infrastructure, preferably in the context of large language models. In depth understanding of Machine Learning / Deep Learning / NLP concepts.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Research and develop our machine learning systems, including heterogeneous computing architecture, management, scheduling, and monitoring. - Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, ASIC.
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