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QualificationsQualificationsA PhD in electrical or computer engineering is required and experience in the following areas is preferred:-Integrated circuit design and verification practices-Experience using industry-standard VLSI design tools, this could include the Cadence design suite (Virtuoso, Innovus, Spectre, etc.
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About the OpportunityNortheastern University’s Multidisciplinary Graduate Engineering (MGEN) unit seeks highly motivated applicants, committed to teaching excellence, for the role of Assistant/Associate/Full Teaching Professor (a non-Tenure-Track faculty position) in Boston, MA with general areas of focus in Artificial Intelligence, Machine Learning, and Natural Language Processing.
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Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor’s degree in Computer Science, Computer Engineering or a technical field At least 4 years of experience designing and building and deploying ML application platforms.
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ISD brings together researchers from computer science, statistics, machine learning, systems engineering and other fields to develop interdisciplinary solutions to cutting-edge technological challenges.
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An earned PhD in Computer Science, Statistics, Mathematics, Systems Engineering, Electrical and Computer Engineering, Psychology or a closely related field; or an earned Masters in Computer Science, Statistics, Mathematics, Systems Engineering, Electrical and Computer Engineering, Psychology or a closely related field with significant related experience.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering.
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Bachelor’s degree in Computer Science, Computer Engineering or a technical field. Remote (Regardless of Location): $198,900 - $227,000 for Sr. Mgr, Machine Learning Engineering.
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For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. At least 2 years of experience mentoring and leading teams developing AI and Machine Learning solutions.
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Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible.
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DescriptionAs an engineering manager in the Intelligence Platform team, you will be a strong technical leader across software engineering and machine learning, support the growth and well-being of your direct reports, create a strong team culture and shape the vision and roadmap of the team.
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Degree in Computer Science, Artificial Intelligence, or related field, with a focus on machine learning and artificial intelligence. 5 years of working experience in machine learning and AI areas, along with 3 years of leadership or management experience leading AI teams.
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Browse GitHub repositories and collect data, apply data mining and machine learning techniques as required. Required Qualifications Graduate student pursuing a MS in Computer and Information Science or similar degree at Gannon University.
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Oversee the implementation of these services in a production-ready environment for use by operational teams across the enterpriseCollaborate with different IT and business leaders to define AI product roadmapsLead and manage a team of AI engineers:Recruit, hire, and onboard talented AI engineers with expertise in various areas like machine learning, deep learning, Gen AI, computer vision and related technologies.
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Experience leading a product as a Product Owner or Product Manager Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Experience working at code level.
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machine learning computer science engineering jobs Title: engineering in Anoka, Minnesota
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