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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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Contribute research to top-tier NLP conferences such as Association for Computational Linguistics (ACL) and Empirical Methods in Natural Language Processing (EMNLP). You will work with a seasoned group of natural language processing (NLP), speech, and computer vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI/ML conferences.
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From developing creative new Lens features for Snapchat, to supporting the continuous growth and evolution of Lens Studio (our platform for an ever-increasing community of AR creators), to designing the cutting-edge computer vision and machine learning technology that makes face transformation Lenses possible - our Augmented Reality team is working hard on their mission to bring AR to more people, places, and moments, every day.
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Work on 3D engines and advanced algorithms utilizing the cutting edge capabilities of modern mobile GPUs. We're looking for a 3D Rendering Engineer to join our Augmented Reality team in Santa Monica.
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Produce / Floral: Stocker, Clerk, Floral Arrangements, Production (Fruit and Vegetable Cutting) Specialty: Beer, Wine, Cheese Cutting and Wrapping, Chocolate, Pub Service. Passion for natural foods and the mission of Whole Foods Market.
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We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in productionizing Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts.
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Prepared Foods: Deli Counter Service, Kitchen, Food Prep, Dishwasher, Culinary Venues (Pizza Maker, Sandwich Maker, Runner: Hot Food / Salad Bar) Grocery: Stocker (Frozen Foods, Dairy, Bulk Items) - Day and Overnight shifts.
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Position Summary The Learning Experience Designer is responsible for crafting cutting-edge digital learning experiences that seamlessly integrate with the company’s culture, values, and unwavering dedication to training excellence.
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Demonstrate expert knowledge in machine learning and rule-based systems as applied to computational linguistics and natural processing, as well as development and execution of annotation tasks with teams of experts.
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Detailed knowledge of modern deep learning concepts, including but not limited to Generative AI models, FCN, CNN, RNN, Autoencoders, Transformers, and Large Language Models (LLM). MS/PhD in Computer Science, Data Science, Machine Learning, or related technical fields.
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7+ years of professional experience in Machine Learning, Natural Language Processing, Deep Learning and related areas. Use broad knowledge of Machine Learning and Deep Learning innovative methods, algorithms, and tools from within Microsoft and from the scientific literature, and apply your own analysis of scalability and applicability to the formulated problem.
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Your primary focus will be in applying machine learning and data mining techniques, performing statistical analysis, and building high quality analytic systems - deep learning, anomaly detection, natural language processing, recommendation systems, predictive analytics and information retrieval.
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Experience with ML/AI algorithms, deep learning, or natural language processing (NLP). SiriusXM is looking for a senior applied science leader to join our Science and Machine Learning.
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Experience with one or more of the following: recommendation/ranking system, online advertising, information retrieval, natural language processing, large language model or related fields.
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Motivate TK/K-6th grade students through social-emotional learning and enrichment activities such as STEAM, music, and Lego. A team of experts in social-emotional learning, physical activity, the education landscape, and ed-tech platforms guides us.
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