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Design and implement machine learning algorithms for NLP/LLMs or deep learning models at scale to meet business requirements. 2+ years of experience in Data Science or a related field, with a focus on building NLP/LLMs or Deep Learning models.
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Drive advanced research on Natural Language Processing (NLP), Large Language Model (LLM) and Foundation Models to address academic and industrial challenges in AI fields. As a part of our global research unit, our Natural Language Processing group is responsible for advancing Natural Language Processing (NLP) technology, particularly Large Language Models (LLMs), for industry applications.
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Publication record in top NLP / AI venues (e.g., ACL, EMNLP, NAACL, TACL, AAAI, NIPS, etc.) Our mission is to develop cutting-edge NLP solutions that drive innovation, solve complex industry problems, and shape the future user experience of Bosch products for both internal and external users in the fields of AI agent, information retrieval, question answering, software engineering assistance, and etc.
$175,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum Requirements: Currently has, or is in the process of obtaining a PhD or Master degree in Computer Science or a related STEM field Solid foundation in 3D math, linear algebra, computational geometry and numerical analysisDeep understanding of and experience with the latest deep learning techniques related to NLP, computer graphics and multi-modal systems.
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Master's degree or PhD in NLP/speech synthesis/speech recognition or adjacent fields. Inworld powers experiences built by Niantic, NetEase Games and LG, among others, and has partnerships with key industry players such as Nvidia, Ubisoft, Microsoft/Xbox, Epic Games and Unity.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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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.
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Experienced with traditional as well as modern machine learning/statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis to solve real-world problems across discovery, ads,forecasting, fulfillment and search experiences at Doordash.
$55 - $65 an hourInternExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Are you excited about working on large scale Generative AI, Natural Language Processing (NLP), and Deep Learning? 3+ years of industry/applied research experience in machine learning, NLP, deep learning and/or information retrieval.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Knowledge of information extraction (IE), data integration, ontology, semantic technology, machine learning (ML), or natural language processing (NLP). Knowledge of information extraction (IE), data integration, ontology, semantic technology, machine learning (ML), or natural language processing (NLP.
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You will research techniques to leverage LLM's, deep learning and other cutting-edge ML/NLP methods as part of Informatica Intelligent Data Management Cloud (IDMC) You will research techniques to leverage LLM's, deep learning and other cutting-edge ML/NLP methods as part of Informatica Intelligent Data Management Cloud (IDMC.
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Keep track of and research the latest NLP technologies and algorithms to stay informed about the industry. Pursuing a master's or doctoral degree in Computer Science, Computational Linguistics, Artificial Intelligence, or related fields.
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3+ working experience in one of the following fields: machine learning, NLP(Natural Language Processing), multimodal, and computer vision. Our team is responsible for developing state-of-the-art NLP/ML algorithms and strategies to improve user consumption experience, inspire merchants' service quality and revenue, and build a fair and flourishing ecosystem on our E-commerce Platform.
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In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques. In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques.
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Experience with Analytical Modeling: Requires knowledge of feature relevance and selection; Exploratory data analysis methods and techniques; Advanced statistical methods and best-practice advanced modelling techniques (e.g., graphical models, Bayesian inference, basic level of NLP, Vision, neural networks, SVM, Random Forest etc.
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nlp job in Menlo Park, CA
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