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5+ years of experience with solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience. Building the intent classifier in a full-stack manner by designing taxonomy, creating and managing high quality labeled data, training the best performed machine learning model (like Bert, GPT), and monitoring the online performance of the model.
$175,750 - $266,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Through your understanding of deep learning, machine learning, linear algebra, probability theory, statistics, and optimization you’ll leverage Python, Scala to perform data exploration and analysis, implement algorithmic solutions given specifications, push solutions to our production environment as well as analyze performance and trade-offs to determine the best solution.
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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.
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Solid experience in machine learning, deep learning, data mining, or artificial intelligence. We are actively seeking an Applied Scientist to join our Global E-Commerce Alliance Team. This role is centered on developing and implementing innovative machine learning solutions for our recommendation systems in E-Commerce business.
$136,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Post-doctoral research experience is desired as well as research or training in areas such as machine learning and/or deep learning in a biomedical context, signal processing and analysis for biomedical data, bioinformatics, computer vision, or other related areas.
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This role will provide exposure to cutting-edge innovations in product search, information retrieval, natural language processing (NLP), deep learning, and image processing. Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing.
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From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
$133,000 - $194,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Faced with this search space, we believe that machine learning based approaches are ideally placed to tackle the RNA design problem that we work on at Inceptive. A solid foundation in both machine learning theory and practice and experience building machine learning systems end-to-end, including data generation and lifecycle management, is preferable.
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Our Data Science program is one of the fastest growing field in CIT. The ability to teach hands on graduate courses in general areas of Data Science such as Artificial Intelligence, Deep Learning, Distributed & Scalable Data Engineering, Machine Learning, and Natural language Processing.
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Strong understanding of relevant AI frameworks, tools, and programming languages (such as Python, Java, C , and Y) and the ability to apply data science and in-depth knowledge of machine learning, deep learning, natural language processing, and computer vision.
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Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 6 years of experience designing and building data-intensive solutions using distributed computing At least 6 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 years of experience building, scaling, and optimizing training or inferencing systems for deep neural networks.
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7 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
$231,000 - $339,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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By innovating and implementing state-of-the-art machine learning, data science, and large language model solutions, you'll help shape the future of sustainable fashion retail. Design and develop machine learning models to power our personalization and search ranking algorithms.
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We are looking for a Senior Data Scientist to build and deploy Natural Language processing (NLP) models utilizing a variety of Machine learning and deep learning techniques.
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