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Duties:Conduct patent preparation and prosecution activities in the areas of electrical engineering, computer science, software-related technologies, data science/AI, networking technologies, and machine learning.
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Model Development: Design, build, and deploy machine learning models to improve various aspects of our platform, including customer personalization, predictive analytics, and automated decision-making.
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Machina Labs is funded and backed by major investors (NVIDIA, Innovation Endeavors and Lockheed Martin) in the field of AI and Deep Tech. Job Description As a Machine Learning Engineer and an early member of our small team, you will own a significant portion of our product and the company.
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A candidate with an electrical engineering background will use AutoCAD electrical to develop and revise control designs through schematics, single line drawings and panel layouts, and will be involved in programming PLC and Human Machine Interfaces at the direction of the Electrical Engineers and Plant Engineer.
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Our customers include the Department of Defense (DoD), the U.S. Air Force, U.S. Navy, U.S. Army, Missile Defense Agency (MDA), and the National Aeronautics and Space Administration (NASA.
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Master's Degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline preferred. Bachelor's Degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline required.
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Located on the campus of an internationally renowned research university with a $1 billion research portfolio, the Department of Urology is uniquely poised for transformational cross-disciplinary innovations and leading-edge surgical research, including collaborations with the UCLA Samueli School of Engineering to pioneer new methods of delivering care.
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Knowledge of Machine learning and Statistical methods (Classical ML, Deep Learning, NLP, and Anomaly Detection) and the ability to identify the most suitable solution for the problem.
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We are seeking a talented and experienced Machine Learning Operations (ML Ops) Engineer with 2-4 years of hands-on experience in deploying and managing machine learning models in a Microsoft Azure environment.
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Technical knowledge of neuroimaging and brain anatomy, experience with organizing, maintaining, and analyzing large brain imaging datasets, programming expertise with python, Bash and parallel computing, experience with Brain Imaging Data Standards (BIDS) and MRI—based neuroimaging software programs (e.g., FreeSurfer, ITKSna) and statistics/machine learning strongly preferred.
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A team of experts in social-emotional learning, physical activity, the education landscape, and ed-tech platforms guides us. Be part of a meaningful mission to transform kids’ lives and innovate learning in your local community.
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8-10+ years of civil defense litigation and trial experience in asbestos, products liability, environmental, or toxic torts. Join a powerhouse national law firm that stands at the forefront of civil defense litigation.
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The Intern will interact with production groups, engineering, fulfillment, and vendors to understand the workflow and create a V1 Specification for a future state of Interoperable Master Format (IMF.
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Create machine learning-based pipelines to identify changes in spatial omics patterns of gene and protein expression in tumor tissues. Proficiency with image processing, machine learning, and deep learning techniques.
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As a US Department of Defense contractor, we are bound by the International Traffic in Arms Regulations (ITAR). You’ll join a business with a long track record of engineering excellence, set in the wonderful town of Burbank filled with great community atmosphere, schools, weather and no shortage of entertainment.
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machine learning engineering intern department of defense jobs Title: research intern in Los Angeles, CA
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