91 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at California Institute of Technology
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and its researchers more than a delayed or filtered report. Basic Qualifications Experience and technical skill: Willingness to learn equipment operation, basic maintenance, and lab procedures in a
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experimentation, machine learning, and laboratory automation. Other tasks as assigned. Basic Qualifications Master's degree or higher in Robotics, Mechanical Engineering, Electrical Engineering, Computer
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of equipment by both learning how to operate it at peak performance and by administering the types of maintenance and alignments that keep it dialed in to peak performance for use by the lab’s quantum device
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at the interface of machine learning, data science, and the chemical sciences to lead the AI for the Chemical Sciences Summer Bootcamp. This individual will design and deliver an intensive, hands-on educational
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Performance Computing Clusters. Preferred Qualifications Experience in Machine Learning analysis of complex image data sets. Experience with spaceborne and ground-based astronomical imaging data sets and
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Qualifications Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Information Systems, or a related technical discipline, or equivalent practical experience
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. The successful candidate will contribute to the design and implementation of algorithms, symbolic computation systems, data processing pipelines, and machine learning. Essential Job Duties Develop computational
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necessary, learn to repair electronic systems. Duties include, but are not limited to, instrument installs, setups, and removals. Duties will also include cryogenic handling, troubleshooting, and repair
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of equipment by both learning how to operate it at peak performance and by administering the types of maintenance and alignments that keep it dialed in to peak performance for use by the lab’s quantum device
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degree. Demonstrated experience developing computer vision or robotic perception software and running it on physical robot hardware (academic, research, and project experience counts). Programming in