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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.
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Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, and/or Reinforcement Learning. Data science, machine learning, optimization models, Master’s degree 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)Doctorate, Masters: Artificial Intelligence.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Managing distributed teams is a plusProven track record of building products/features using Natural Language Processing, Query Understanding and Semantic Search techniquesExperience with Big Data and search technologies Spark/Hadoop/Kafka and SOLR.
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Apache Spark is a multi-language engine for data engineering, data science, and machine learning that lies at the core of our initiatives. 5+ years experience working in a related system, including ecosystem, Apache Spark and database internal, database systems, data processing or related domains.
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SAIC takes on grand scientific and engineering challenges in machine intelligence and actively contributes to the international research community through scientific publications and presentations in major conferences and journals in research areas of Computer Vision, HCI, Contextual/multi-modal modeling, NLP, Speech Recognition, Dialogue, and Machine and Deep Learning.
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Bachelor’s Degree, or higher-level degree, in Computer Science, Engineering, or related quantitative field that demonstrates knowledge of AI, machine learning, optimization, random processes, sensor signal processing, or mathematical modeling.
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Passionate about natural language understanding, information retrieval, or machine learning. At Moveworks, we build search technology to answer enterprise users’ questions instantly, by combining modern information retrieval, natural language processing, with the latest advancement in generative AI technology.
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Research and Innovation: · Stay up to date with the latest advancements in the field of natural language processing and machine learning. Solid understanding of natural language processing techniques, including language modeling, text classification, sentiment analysis, and machine translation.
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Experience in developing and maintaining AI or machine learning infrastructure, preferably in the context of large language models. In depth understanding of Machine Learning / Deep Learning / NLP concepts.
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Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis.
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Good understanding of Machine Learning and Deep Learning technologies and experience using one or more deep learning frameworks (e.g., PyTorch, JAX, TensorFlow. Similar Jobs (5) Software Engineering Manager - Libraries locations 2 Locations time type Full time posted on Posted 19 Days Ago Software Engineering Manager locations US, CA, Santa Clara time type Full time posted on Posted Yesterday Graphics Software Engineering Manager locations 2 Locations time type Full time posted on Posted 8 Days Ago.
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Solid understanding of HIPAA compliance and its implications for data processing and machine learning in healthcare is a plus. Foster a culture of innovation, continuous learning, and adherence to best practices in machine learning and data security.
$180,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong knowledge of Machine Learning and related areas, such as Deep Learning, Natural Language Processing, Computer Vision, etc. Experience developing machine learning solutions for Autonomous Vehicles.
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Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems.
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