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Hand held scanner, telephone, hand held radio, computer, printer, scanner, copier, fax machine, writing instrument, reports, logs, spreadsheets, merchandising diagrams (planograms), point-of-sale terminal, petroleum and/or propane equipment and terminals, fertilizer and crop protectant blenders and spreaders, loaders, forklifts, pick-ups, delivery trucks, and other tools and equipment.
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Cutting-Edge Machine Vision*: We're in the business of AI and data science. Cutting-Edge Machine Vision: We're in the business of AI and data science. Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Required Qualifications Minimum 15 years program management experience, preferably in a PMOBachelor’s degree in Business, Computer Science, Engineering, or equivalentPMI PMP Certification. Position Overview Exciting opportunity to lead the Enterprise Program Management Office (EPMO) that oversees the Intelligent Transportation Systems initiatives at the US Department of Transportation.
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Predictive modeling and machine learning techniques. Employer will accept a Bachelor's degree in Statistics, Operations Research, Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related field followed by followed by 7 years of progressive, post-baccalaureate experience in the job offered or in a data science-related occupation.
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Consumer Identity ML is the data science and machine learning team inside Capital One’s AI foundation organization. Senior Manager, Data Scientist - Consumer Identity Machine Learning Data is at the center of everything we do.
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Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy-now prices on Xometry.com.
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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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For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering.
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SME expertise in both of the following areas: classic RF signal detection, processing, and communications protocols and machine learning, including ensemble methods and neural nets. Two years’ experience in classic RF signal detection, processing, and communications protocols, and machine learning including ensemble methods and neural nets.
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MULTIPLE POSITIONS AVAILABLECompany: AMAZON.COM SERVICES LLCPosition Title: Program Manager IIILocation: Arlington, VirginiaPosition Responsibilities:Lead a cross-functional team that consist of Research Science, tech, product, operation, and finance teams to manage existing forecasting programs, explore and launch new program initiatives.
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Merkle’s expertise has earned recognition as a “Leader” by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management.
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The Director will drive and oversee a data science and applications development division with an established portfolio of work for federal clients in data modernization, AI/machine learning, public health and biomedical informatics.
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Emerging ML is the data science and machine learning team inside Capital One’s Applied Research organization. San Francisco, California (Hybrid On-site): $213,400 - $243,500 for Manager, Data Science.
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Familiarity with data science concepts, machine learning algorithms and techniques, and software development approaches. 3-5 years working in product management, data science, analytics, technology, and/or economics.
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machine science jobs Title: manager in Arlington, VA
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