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Neural Network Jobs in Colorado Springs

1 - 7 of 7
1 - 7 of 7
Search Results - Neural Network Jobs in Colorado Springs
Dexian Signature Federal-Colorado Springs
tools (e.g. CMake, Makefile, autoconf)  •  Experience with Python and Perl  •  GPU programming experience (e.g., CUDA, OpenCL)  •  Agile process and JIRA  •  AI/ML/Neural Networks experience  •  Good organization skills to balance and prioritize work  •  Strong...
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Blue Signal Search-Colorado Springs
including practical experience building, optimizing, and implementing complex neural network solutions in real-world environments.  •  Strong background leveraging scalable machine learning platforms and parallel computing tools to support complex model...
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Dexian Signature Federal-Colorado Springs
Git)  •  Build/install tools (e.g. CMake, Makefile, autoconf)  •  Experience with Python and Perl  •  GPU programming experience (e.g., CUDA, OpenCL)  •  Agile process and JIRA  •  AI/ML/Neural Networks experience  •  Good organization skills to balance...
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Blue Signal Search-Colorado Springs
to drive measurable system improvements.  •  Collaborate across product and engineering to turn ambiguous challenges into scalable, production-ready solutions. Skill Set  •  Strong foundation in machine learning, neural networks, and modern model...
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Booz Allen Hamilton-Colorado Springs
of embedded systems  •  Knowledge of computer vision and artifi cia l neural networks  •  Secret clearance  •  Bachelor's degree in a STEM or AI field Nice If You Have:  •  Experience with the design, development, testing, or analysis of missile defense systems...
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Opeongo-ai-Colorado Springs
Experience with transformers, graph neural networks, diffusion or generative models applied to structured scientific data  •  Foundation model work — pre-training, adaptation, or rigorous evaluation  •  Multimodal or cross-modal modeling, including work...
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Ampace-Colorado Springs
informed neural networks, neural operators) into fast multiphysics surrogate models.   4.  Lead inverse-design using active learning and Bayesian optimization to cut physical trial-and-error and the number of DOE runs.   5.  Design and maintain versioned, high...
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