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Master’s degree in data science, computer science, statistics, computational linguistics or engineering preferred. 2+ year in a data science, machine learning engineering, artificial intelligence or equivalent role.
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Requirements:Bachelor's degree or above in Computer Science/Statistics/Mathematics or other related majorsProficient in Python, Java, or Scala and big data tools such as SQL/Hive/SparkExperienced in Machine Learning and Deep Learning models3+ years of machine learning-related experience, preferably in trust&safety/risk management.
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Bachelor's degree in Human-Computer Interaction, Cognitive Science, Design, Experimental Psychology, Anthropology, Information Science or a related field. Preferred qualification - MA/MS in Experimental Psychology, Cognitive Psychology, Social Psychology, Human Factors, Human Computer Interaction, Behavioral Economics, or a related field.
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Priority will be given to candidates in either one of two areas of special interest: (1) scalable synthesis, analysis and implementation of materials relevant to Quantum Information Science and Engineering (QISE), and (2) development of biomedical imaging materials and related technologies (e.g., computational modeling and machine learning) for disease diagnosis and treatment.
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We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USABASIC QUALIFICATIONS- 10+ years of applied research experience- 5+ years of management experience with scientists and/or machine learning engineers - 5+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Knowledge of ML, NLP, Information Retrieval and Analytics- Experience programming in Java, C.
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MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field. Experience in machine learning, deep learning/LLM, information retrieval, natural language processing.
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Lead research to advance the science and technology in Computer Vision, Graphics, Machine Learning, AR, VR, and Computational Photography. Individuals in this role are expected to be recognized experts in identified research areas such as Computer Vision, Computer Graphics, Machine Learning, AR, VR, and Computational Photography.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Master's or PhD degree in Aerospace Engineering, Electrical Engineering, Computer Science, Robotics or a related field. Experience with sensor calibration, sensor fusion, state estimation, and SLAM (Simultaneous Localization and Mapping) techniques.
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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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Familiarity with NLP/ML tools and packages like Jax, TensorFlow, PyTorch etcHands-on experience building production quality applications related to natural language processing and machine learningAbility to quickly prototype ideas and solutions, perform critical analysis, and use creative approaches for solving complex problemsQuick learner who can work independently as well as in a teamEducation & ExperienceBachelors in Computer Science or relevant fields with a strong academic track record.
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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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Experience with neural deep learning methods and machine learning. As a member of the Prime Video Personalization organization, you will spend your time as a hands-on machine learning practitioner and a research leader.
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Masters or PhD degree in Computer Science, Statistics, Economics, Engineering, Applied Mathematics or related quantitative field; or equivalent related professional experience.
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PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field. Machine learning (ML) has been strategic to Amazon from the early years.
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machine learning computer science masters degree jobs in Seattle, Anoka, Minnesota
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