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At least 10 years of industrial/academic experience advancing the state of the art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
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Architect, design and develop advanced AI models for our LLM application, focusing on natural language understanding (NLU), natural language processing (NLP), and machine learning (ML) algorithm.
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Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models. Experience training, fine-tuning and deploying large language models (LLM.
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PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science 10+ years of combined academic and research experience.
$159,100 - $309,400 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Deep understanding of deep learning architecture, machine learning, natural language processing (NLP), and generative models. The Upstream segment includes crude oil, natural gas and natural gas liquids exploration, field development, and production.
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Experience with Contact Center Technologies leveraging Advanced Voice Recognition, Conversational AI, and Natural Language Processing 8+ years of experience in JavaScript development frameworks and tooling: Angular, React, VueJS, & Gulp, Grunt, Yarn, etc.
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Utilize machine learning and artificial intelligence techniques to develop predictive models, recommendation engines, and natural language processing (NLP) solutions. Responsibilities include advancing GAM1’s & NOAA’s use in digital transformation Artificial Intelligence (AI) and Machine Learning (ML) techniques, working with the enterprise stakeholders as they tackle data management, integration, dissemination, warehousing, and governance to manage the complexity of critical mission data for actionable insights and decision making.
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Expected Salary: $82,500 Comprehensive and highly competitive leave and benefits package eligible Minimum Requirements: Applicants must hold a terminal degree in the performing or visual arts, design, or another related field (such as AI, machine learning &/or natural language processing, computational creativity), or possess equivalent professional experience, including in community engagement, or leadership in technology-related sectors.
$82,500 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Advanced knowledge in computer programming (preferably R or Python), machine learning, deep learning, natural language processing, and applied statistics is required. We are encouraging applicants with strong research background in data science, machine learning, or natural language processing with a focus on biomedical applications.
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2+ years of experience with Natural Language Processing (NLP) and Large Language Models (LLM) Additionally, the Prompt Engineer will participate in a wide variety of Natural Language Processing activities, including refining and optimizing prompts to improve the outcome of Large Language Models (LLMs), and code and design review.
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Experience with Contact Center Technologies leveraging Advanced Voice Recognition, Conversational AI, and Natural Language Processing Experience with UI/UX development & design systems: CSS, Web Components, Less, Sass Experience or exposure in big data and event streaming technologies: Spark, Kafka, etc.
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Experience in machine learning, deep learning, information retrieval, 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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Familiarity with Natural Language Processing (NLP) methods and techniques. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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We have a strong preference for building our own backend technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone.
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Stellar presentation and written communication skillsFamiliarity with cloud computing platforms (e.g., AWS, Azure)Publications or contributions to open-source projects related to transformer architectures, vector databases, or language models/ natural language processing are a strong advantage.
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