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Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C.
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We have openings for receptionist, data entry, customer service, collections, office managers, call center, administrative assistant, accounts payable clerk, accounts receivable clerk, file clerk, warehouse, electronic assemblers, assembly, production, pickers, packers, forklift, machine operators, and maintenance mechanics.
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Overview: As a Machine Learning Engineer, you will specialize in engineering solutions that support Adversarial Machine Learning (AML) research. Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.
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We are seeking a Natural Language Processing expert to join our team and help us build cutting-edge machine learning technology that will replace complex, time-consuming, manual processes with automation and intelligence that helps Govini end-users make scientific and analytical decisions.
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The ideal candidates will have at least an Associate's Degree or higher in Early Childhood Education, Child Development, or Children & Families with at least two years of experience working in early learning & some administrative or supervisory experience.
$18 - $20 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You can design course curricula that effectively scaffold the learning experience for learners at varying levels of competence. Beyond our core learning product, we also offer English proficiency testing with the Duolingo English Test, and are bringing new subjects into the Duolingo app, where people can develop their Math and Music skills.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Maintain updated copies of training manuals, multimedia visual aids, and other educational materials to be used as reference tools for staff.
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Direct and coordinate the activities of employees engaged in the production or processing of goods, such as machinist, operators, laborers, etc.
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2+ Years Machine Maintenance Experience. Responsible for filling feed hoppers of Garnett machine with appropriate fibers. Responsible for machine set up for each work order, verifying component parts are pulled to production area for start of production.
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Liaise with Learning Experience and Enablement team to ensure all activities related to development of content, delivery support, and LMS tasks are completed. 2+ years of learning & development experience is required.
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The Machine Learning Engineer will work across multiple research areas developing and maintaining custom applications and data pipelines featuring generative AI, natural language processing, LLMs, and other foundation models.
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Knowledge and experience in at least one of computer vision, LLMs, or deep learning for other applications. Our Learning and Development offerings include Aurora Academy, where our people learn, develop, and practice the essential skills that drive Aurora’s mission, continually up-leveling our team along the way.
$227,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Position Summary: As a senior machine learning engineer in the AI for Autonomy Lab, you will identify, shape, apply, conduct, and lead engineering research that matches critical U.S. government needs.
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Will be responsible for supporting the work of the Executive Director of the CC related to initiatives associated with the Internship Prep Program (IPP) and other experiential learning programming.
$45,000 a yearInternExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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As a Machine Learning Engineer, you will play a pivotal role in developing and deploying machine learning models and algorithms to address complex challenges in national security and emergency management.
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Title: machine learning Company: Software Engineering Institute Carnegie Mellon University in Pittsburgh, PA
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