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Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred.
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PhD in machine learning, natural language processing, or computational linguistics, with 10 years of professional experience. with exceptional experience in artificial intelligence (AI) and large language models (LLM) to join our team and work on adapting and translating advances in artificial intelligence and large language models into impact for underserved and vulnerable populations.
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Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, AI applied to chemistry or material science, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
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The Financial Stability Research, Data, and Technology (RDaTA) section is seeking a Senior Data Scientist whose primary role will be to lead innovative statistical and mathematical initiatives to contribute to research and policy through the application of artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and conceptual modeling.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Experience in Development and/or validating probabilistic models, Bayesian models, Decision Trees, Random Forest, Ensemble Models, Neural Networks, PCA/Preventive Crime Research, Logistic / Linear Regression, Linear / Non-Linear Optimization, Support Vector Machines, Natural Language Processing, Large language models, Graphic deep learning, audio programming.
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Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Machine Learning, Natural Language Processing, Multimodality, a related field, or equivalent practical experience.
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Candidates must have strong capabilities in relevant research methods, which could include social network analysis, statistical analysis and open-ended data mining; applied machine learning including Natural Language Processing and image recognition; interactive data visualization; and website development.
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Experience in one or more relevant technical areas: natural language processing, machine learning, distributed systems, or building infrastructure for engineering/science users. Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.
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As a member of the AI Lab in Autodesk Research you will be an expert in research areas such as artificial intelligence, deep learning, generative AI, machine learning, computer vision, reinforcement learning, information retrieval, and natural language processing.
$107,100 - $184,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Computer Vision, Speech, Multimodality, Natural Language Processing, a related field, or equivalent practical experience.
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Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing. Retrieval-Augmented Generation (RAG), function calling, and code interpreter technologies to enhance the capabilities of Large Language Models.
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Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning.
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Computer programming (e.g., scripting, data parsing/ETL, artificial intelligence, machine learning, math/statistics packages, natural language processing, software versioning, distributed computing.
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Key job responsibilitiesAs a highly experienced and seasoned science leader, you will apply state of the art natural language processing and computer vision research to video centric digital media, while also responsible for creating and maintaining the best environment for applied science in order to recruit, retain and develop top talent.
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