464 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Carnegie Mellon University in United States
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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check Additional Information: Sponsorship: Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over the sponsorship
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: Successful background check Pre-employment drug and alcohol screening Fitness for duty assessment and pre-employment medical exam Valid PA driver's license & Motor Vehicle Records (MVR) Additional Information
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intelligence. You have worked with tools, techniques, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision
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development (LLM) Collect, verify and manage data Data analysis Gather input for functional specifications and requirements Maintain technical documentation Flexibility, excellence, and passion are vital
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of research, testing and data collection, analysis and evaluation, and writing reports which contain descriptive, analytical and evaluative content. Adaptability, excellence, and passion are vital qualities
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immediately Providing escorts to students, staff, and faculty members Providing general assistance to campus police officers Providing general information to university personnel and visitors Performing foot
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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. Ability to understand and follow directions. Ability to work well with others and/or as part of a team. Visual acuity to perform activities such as extended use of a computer monitor, extensive reading
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of computer graphics, human-computer interaction, computer vision, and machine learning. Conducting comprehensive literature reviews in related areas, including deep generative models, image and video synthesis