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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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3+ working experience in one of the following fields: machine learning, NLP(Natural Language Processing), multimodal, and computer vision. Proficient in using at least one mainstream deep learning frameworks such as TensorFlow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods.
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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 advanced statistical and machine learning techniques such as clustering, gradient boosting machines (GBM), support vector machines (SVM), neural networks (e.g., ANN, RNN, CNN), and other deep learning algorithms is a plus.
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Production-level experience with core quantitative analysis techniques (e.g., predictive modeling, machine learning, artificial intelligence, or natural language processing) in a consulting environment.
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Ph. D. in Computational Physics, Applied Physics, Applied Mathematics, Computer Science, Biological Science (e.g. Cell Biology, Biophysics, Bioengineering), or related science or engineering field; OR equivalent combination of degree and experience.
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Artificial Intelligence including Natural Language Understanding, (NLU) Computer Vision, Machine Learning (ML), and increasingly Large Foundation Models. For us, equity and inclusion are a natural part of our culture and purpose.
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In this pivotal role, you will translate strategic business objectives into advanced AI, Machine Learning (ML), and Operations Research (OR) models, driving enhancements across system operations, flight operations, inflight services, maintenance and engineering, airport operations, scheduling, network planning, marketing, and revenue management.
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Experience and training in cutting-edge research in machine learning, natural language processing (NLP), text mining and computational linguistics. 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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2+ years of experience as a developer, data scientist or machine learning engineer. 11+ years of experience spanning Engineering / Data Science / Technical Program Management leading cross-functional efforts in the software or tech industry in a data-driven environment.
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Language skills and cultural knowledge, specifically in Arabic, Bosnian, Chinese, Farsi, Russian, Somali, Uzbek, Korean or another language are highly sought after by the FBI. Use your linguistics and language background to become an FBI Special Agent.
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Postal Service operations are wide ranging from Mail Processing, handling and sorting mail to sales and marketing teams that work with commercial customers. Mail Processor – Performs a variety of functions to accomplish the processing of mail.
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The engineering team at Warner Music Group makes all of it a reality. The Technology organization works to influence WMG’s strategy and optimize day-to-day operations through data, insights, workflow, and machine learning, including generative AI. This position sits within the Technology organization, working closely with colleagues across WMG’s recorded music and songwriting/publishing businesses.
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Responsibilities- Develop efficient, highly scalable and secured services to build/integrate e-Commerce CRM solutions for TikTok Shop in the US- Develop and Optimize backend systems and services for data security, modularity, computational efficiency and scalability across all product engineering disciplines.
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learning natural language processing engineering jobs Company: Thomson Reuters in Seattle, WA
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