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++, Python) supporting hardware test, automation, and data collection Perform hands-on assembly, wiring, configuration, and bench-level testing of hardware/software systems Support system integration, test
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science/algorithm development Data science / Machine Learning languages to include Python Research, development and implementation of machine learning models Preferred skills/knowledge includes: Active TS
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intelligence, machine learning, deep learning, large language models, predictive analytics, or related methods, including application development in Python and experience with modern AI/ML frameworks such as
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technical tasks, including CAD modeling, scripting in MATLAB/Python, analytical modeling, and supporting experimental testing Collaborate closely with senior engineers, receiving mentorship in modeling
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: Proficiency in one or more modern programming languages such as Python, C++, Java, or Rust Ability to design, implement, and maintain high-quality, scalable software solutions across the full development
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Working experience in algorithm design and implementation in software (e.g. C/C++, MATLAB, python, etc.) Understanding of data analysis, statistics, probability, and machine learning applied to IQ signals
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Working experience in algorithm design and implementation in software (e.g. C/C++, MATLAB, python, etc.) Understanding of data analysis, statistics, probability, and machine learning applied to IQ signals
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/Experience areas include: Proficiency in one or more modern programming languages such as Python, C++, Java, or Rust Ability to design, implement, and maintain high-quality, scalable software solutions across
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/Experience areas include: Proficiency in one or more modern programming languages such as Python, C++, Java, or Rust Ability to design, implement, and maintain high-quality, scalable software solutions across
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to the broader research team Employ Python, SQL, and annotation platforms (e.g., CVAT, Label Studio) to automate labeling workflows, perform exploratory data analysis, and develop quality metrics Document data