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Keywords:Chicago IL Jobs, Quantitative Researcher, Python, Machine Learning, C. Home"Quantitative Researcher, Machine Learning - Work From Home. Quantitative Researcher, Machine Learning - Work From Home.
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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 22 days ago - UpvoteDownvoteShare Job
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Develop SCORM courses in the learning management platform for all CCAC applications. Experience with instructional video creation, SnagIt, Camtasia, Articulate, Flip Books, Windows 10 and 11, Office for both Mac and Windows, Mac OSx, mobile devices, Vyond, conducting demonstrations in a classroom setting, Visio, Learning Management Systems, Lecture Capture software, maintaining a knowledge base, modern training techniques, creation of SCORM courses, IT Security knowledge, VoIP systems and collaboration environments.
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Provide an environment that promotes creativity and exploration through learning. BGCWPA is one of the largest, most comprehensive out-of-school-time providers in the region, annually serving over 7,500 youth from Allegheny County and Somerset County in preschool, before/afterschool, summer camp, teen mentoring, workforce development, STEAM, and sports programs.
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Administration of the college's learning management system; access, uploading, reviewing, and updating training materials; tracking completions; performing assessments. Conduct training in a variety of environments: instructor led trainings, asynchronous learning courses, webinar, and group trainings.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Bachelor's, Masters, or PhD degree preferred in Machine Learning, Robotics, Computer Science, Computer Engineering, Mechanical Engineering, Applied Mathematics, Statistics, or a related field. Motional's Machine Learning team has produced groundbreaking advancements in the autonomous vehicle industry, including nuScenes ( , PointPillars ( , and PointPainting.
$225,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are hiring talented Machine Learning Engineers to collaborate with our Data Science and Data Platform teams in order to build scalable Machine Learning systems that enable rapid iteration, experimentation, and continual improvement in our modeling efforts.
$206,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Conduct performance analysis and optimization of Deep Learning networks running on the Autonomous Vehicle (AV). Familiarity with at least one deep learning framework (PyTorch, TensorFlow.
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Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data. Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Design, develop, and implement machine learning and deep learning models to address hospital-specific challenges such as patient flow optimization, resource allocation, bed management, and predictive analytics for patient outcomes.
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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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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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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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Minimum qualifications: PhD in human-computer interaction, cognitive science, cognitive psychology, education technologies, learning sciences, or a related field. The postdoc will primarily be involved in classroom studies to test the effects on student homework completion and learning of the different components and of the system as a whole.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Relevant knowledge and experience in machine learning, with a proven track record of developing and deploying deep learning solutions using PyTorch, Tensorflow, or similar frameworks. The team's primary focus is on developing compute-efficient, multi-view, multi-sensor deep learning models that can perform a wide range of tasks such as 3D object detection, lane line detection, state estimation, and scene segmentation.
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Title: learning in Pittsburgh, PA
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