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Our team develops, implements, and maintains recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field. We are looking for people with excellent applied machine learning experience and solid engineering skills in creating outstanding question answering service.
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At least a Ph. D. and 5+ years, MS and 8+ years, or BS and 10+ years of relevant experience in computational biology, bioinformatics, data science, computer science, software engineering, engineering, or a related field.
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The team is also responsible for building data science and machine learning solutions to optimize our payment services leveraging large scale datasets and advanced algorithms. -3+ years of machine learning-related experience, preferably in trust&safety/risk management/compliance.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology.
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Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field. - Experience with neural deep learning methods and machine learning.
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BS/BA degree in an analytical field (Computer Science, Engineering, Science, Math, etc.) 2+ years of experience as a developer, data scientist or machine learning engineer.
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5+ years’ experience as a Validation specialist or MES engineer in a computer or science-based field. Direct experience in the Emerson Syncade MES or PAS-X or DeltaV is required. Please submit your resume to our network at (please apply to the MES Engineer – Syncade/PAS-X/DeltaV (Hybrid, Seattle Area, WA) role.
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Machine Learning Engineer, Applied Science and Technology, Environmental AI. We highly value the machine learning research, academic, and engineering communities and we believe in fostering meaningful collaborations between them.
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PhD or Master’s degree (PhD preferred) in Psychology, Behavioral Science/Economics, Cognitive Science, Computer Science, Machine Learning, Statistics, Social Science, Human-Computer Interaction or related field.
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OR A Ph. D. or equivalent doctoral degree in a related field of study such as: Sociology, Business Management, Business Administration, Public Administration, Social Science, Environmental Science, Geosciences, Political Science, Law Enforcement, or other fields related to the petroleum industry.
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Linguistics, Computer and Information Science, Engineering. Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms.
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machine learning computer science engineering jobs Title: engineering Company: University Of California Santa Cruz in Seattle, WA
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