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Drive both short term and long-term research initiatives in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, social & cognitive science.
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Artificial Intelligence, Augmented Intelligence, Machine Learning, Human Language Technologies, Speech Recognition, AI, Natural Language Processing, NLP, ML, Knowledge Management, Enterprise AI, KM, HLT, ASR, Machine Translation, Computer Vision, OCR, NER, and AI Assistant.
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Natural Language Processing. Leveraging various state-of-the-art tools and technologies afforded by computer science, including Artificial Intelligence, Machine Learning, Digital Signal Processing and Algorithms to best shape the experiences.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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This may also include patent work related to image processing, databases, access management, natural language processing/understanding (NLP/NLU), and autonomous machines/vehicles.
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Experience with Machine Learning (ML), with a particular emphasis on Machine Translation (MT) and Natural Language Processing (NLP) Serve as the subject matter authority on all things machine translation and natural language processing.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Experience with a wide range of AI techniques, including machine learning, deep learning, natural language processing, and computer vision. Data Science Management, Director Data Science, Director of Data Science, Director of Engineering, Senior Director of Data Science, Senior Director Engineering, Manager Data Science, Manager Engineering, Artificial Intelligence Management.
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Demonstrated expertise in AI indexing, retrieval systems, personalization, and/or natural language processing. A relevant advanced degree (Masters or PhD) in Machine Learning, Artificial Intelligence, Statistics, or a related field.
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We are seeking individuals passionate in areas such as deep learning, machine learning, computational chemistry, graph neural networks, natural language processing, and generative modeling.
$11,333 a monthFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI.
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Enabling closed captioning on video conferencing. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement.
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We are looking for a Senior NLP / ML Engineer with a strong track record in building enterprise-level Machine Learning (ML) and Natural Language Processing (NLP) driven applications and products at scale.
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The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning, and deep reinforcement learning, or natural language processing into a production environment to improve Scale's products and customer experience.
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5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, 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.
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Minimum of 3 years of experience in machine learning or deep learning engineering or demonstrated proficiency in Natural Language Processing (NLP) or Natural Language Generation (NLG.
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natural language processing intelligence jobs in San Francisco, Schuyler, Nebraska
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