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We are looking for a passionate, talented, and resourceful Applied Scientist with background in Natural Language Processing (NLP), Reinforcement Learning, or Recommender Systems to invent and build scalable solutions for a state-of-the-art conversational assistant.
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Overview: As a Senior Machine Learning Research Scientist, you will specialize in conducting adversarial machine learning (AML) research. Hands-on research: You'll conduct and lead novel research in applied machine learning and artificial intelligence.
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Requiring a minimum of a Master’s degree +3yrs of experience or a Ph. D.Expertise in statistical analysis, predictive modeling, and machine learning algorithms. The ideal candidate will have a strong background in data analysis, predictive modeling, and machine learning, with a passion for applying these skills to solve complex problems in medical diagnostics.
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Advanced degree with a focus in Data Science, Machine Learning, Statistics, Mathematics, Computer Science, Operations Research, Analytics, Engineering, or closely related field. Cox Communications is looking for a Senior Data Scientist to join our Digital Analytics team (part of a rapidly growing Digital Marketing and Sales organization), who is incredibly passionate about data, has a proven track record of transforming raw data into analytic insight, and desires to make a difference by leveraging the right techniques to arrive at the right answers.
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Experience with deep learning frameworks (e.g. PyTorch, Tensorflow). Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning alongside your coworkers.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as intelligent automation.
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As part of the Data Analytics team, the Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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Prior research experience to one or more of the following areas: Electromagnetics and antenna technology (simulation tools such as CST and HFSS, characterization techniques) Radio-frequency systems (wireless communication, radars, SDRs) Signal processing and machine learning (DSP, wireless perception algorithms.
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We seek a scientist who will strongly leverage contemporary information technology capabilities (inclusive of all kinds of machine learning, artificial intelligence, data science, model-data synthesis, etc.
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If you are a passionate Data Scientist with deep learning expertise and LLM, and you thrive in a dynamic and collaborative environment, we would love to hear from you. Job Title: Data Scientist (Deep Learning.
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Knowledge, Skills, and Abilities (KSAs): Advanced Quantitative Data Modeling; Algorithms; Applied Data Analysis; Data Extraction; Data Visualization Tools; Machine Learning; Relational Database Management; Microsoft Excel; Design Thinking; Business Intelligence Tools; Data Manipulation/Wrangling; Data Ensemble Techniques; Feature Analysis/Engineering; Open Source Languages & Tools; Model Optimization; Strategic Thinking; Deep Learning/Neural Networks; Project Management.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Experience building models with deep learning frameworks like MXNet, Tensorflow, Keras, Caffe, PyTorch, or similar. 5+ years of relevant experience in developing and evaluating deep learning models and/or systems, including batch and real-time data processing.
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Significant experience in image processing, machine learning, or deep learning for imaging application. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers.
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As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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