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Train and fine-tune large-scale deep learning models for natural language processing and dialogue generation. You have in-depth knowledge of natural language processing (NLP) techniques, including pre-trained language models, text generation, and dialogue systems.
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M.S or Ph. D. in deep learning/computer vision/natural language processing/machine learning/computer science with 5+ years of equivalent industry experience (or in exceptional cases, BS with proven track record of relevant industry experience.
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5 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.
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Experience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar.
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Leveraging computer vision, natural language processing, machine learning, and vertical-specific large language models (LLMs), Lily AI enhances customer shopping experiences by injecting consumer-centric language throughout the retail technology ecosystem.
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Strong understanding of data and AI technologies, including, but not limited to multimodal learning, natural language processing, computer vision, and reinforcement learning. Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta, Pinterest, eBay, Lyft, and other leading organizations.
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Natural Language Processing (Sentiment Analysis, Text Classification). Use the knowledge of methods such as Statistical Forecasting, Cloud Service Analysis, Turnover Analysis to design data warehousing and data processing solutions to be built on ODI using PL/SQL and SQL. Produce new and creative analytic solutions using machine learning & AI by modeling data from different sources and help achieve business targets.
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Familiarity with the OpenAI API and its capabilities for natural language processing (NLP) and generative modeling is highly desirable. Familiarity with the OpenAI API and its capabilities for natural language processing (NLP) and generative modeling is highly desirable.
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Experience in leading teams who have expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, and natural language processing.
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Design, model, validate and test algorithms by applying Machine Learning and Natural Language Processing techniques against various real-world datasets including behavioral data. Expertise with Natural Language Processing, such as Named entity recognition, Part-of-speech tagging, Language Model etc.
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Knowledge of Natural Language Processing (NLP) techniques and tools. Familiarity with big data processing frameworks (e.g., Hadoop, Spark) and databases (e.g., SQL, NoSQL) Experience with large-scale data processing and parallel computing techniques.
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Master's degree or PhD in Computer Science, Engineering, Mathematics, Statistics, or related field, with a focus on AI, machine learning, deep learning, natural language processing, computer vision, or related areas.
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Natural Language Processing: (Mandatory) Machine Learning | NLP | Data scientist. Understanding of Core machine learning algorithms and deep learning architectures. Machine Learning and Deep Learning: (Mandatory.
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Strong understanding of machine learning concepts and techniques, including deep learning, reinforcement learning, natural language processing, and computer vision. Design and develop data processing pipelines to ingest, clean, and preprocess large-scale datasets, ensuring data quality and integrity throughout the machine learning lifecycle.
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The Research and Development group is responsible for designing reliable and valid language tests based on theories of linguistics and psychology, informed by an understanding of automatic speech recognition and natural language processing.
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natural processing jobs in Santa Clara, CA
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