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Opportunities span from projects in AI and Machine Learning, processor fabric subsystems, SOC/ASIC products for vision processing, aerospace FPGAs, medical electronics, RISC-V based SoC, ARM based peripherals, and mixed signal DSPs. Successful candidates for this role will support verification of advanced CPU/GPU based SOCs.
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Demonstrable knowledge and experience in Image Processing, Machine Learning, Signal Processing, and their applications on mobile sensor data collected in the lab and in the wild.
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A engineering, physical science, math or computer science degree, with a specific component involving algorithms, machine learning or signal processing. Neural Networks (DNN, CNN, RNN) or Signal processing background (familiar with FFTs, DFTs and DTFTs, also FIR and IIR filters.
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Experience with machine learning and AI in python with Tensorflow/Pytorch. Signal processing expertise in Matlab, GNU Octave, and/or Python. Algorithm and Signal Processing Engineer,Full Time opportunity-Office located in Belmont, CA (100% remote considered)Seeking a senior Algorithm and Signal Processing Engineer to lead software development on our embedded and cloud-based signal processing platforms.
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Our team has extensive experience in GNSS system architecture, multipath, signal processing, ASIC design and AI/machine learning, and has collectively filed over 200 career GNSS patents.
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Experience with popular machine learning and deep learning frameworks such as GPT , TensorFlow, Keras, PyTorch, and Scikit-learn. Knowledge of signal processing and sensor fusion techniques for wearable products.
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Samsung Research America Digital Health Team is looking for a Director, Digital Biomarkers and digital Health with a solid AI / ML technology background and strong research (R&D) experience in leading the development of digital biomarkers, wearable computing, physiological signal processing, and multi-modality mobile sensing development leveraging wearables, health devices, and health data.
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Research and/or work experience in machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval or computer vision.
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An intimate understanding of at least one of our primary domains - cloud data processing, machine learning, statistical signal analysis, GIS analysis and processing, DevOps / systems engineering, scientific data visualization, software engineering, and release / build engineering.
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BONUS POINTS IF PhD from a top university in one of the following: Computer Science, Electrical Engineering, Signal Processing, Physics, Robotics, Machine Learning, Applied Statistics, or Applied Mathematics.
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Investigate new technologies using a combination of bench testing and human studies Assemble test hardware from commercially available devices or define and build prototype hardware when required Develop signal processing algorithms and train machine learning models using collected data Distill and interpret findings to inform sensor and algorithm specifications, to prove (or disprove.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Is seeking a lead engineer to work in the machine learning (ML) and artificial intelligence (AI) domains for our Syracuse, NY. The rapid advancement of deep learning continues to enable new and innovative applications, solutions, and capabilities for our products, including ground and airborne radar systems, electronic warfare (EW) systems, optical sensors, and more.
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Knowledge of time series, signal processing and/or quantitative finance. Expertise in machine learning, data mining, nonparametric statistics. A Ph. D. in computer science, statistics, engineering, physics and econometrics or other quantitative science; and professional experience at a hedge fund, prop trading firm or investment bank focused on quantitative analysis, trading system development or algorithmic execution.
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Our ADAS group is on a journey to change our way of life, reduce accidents and help those who can't drive by applying cutting edge technologies into all of General Motors vehicle portfolio Providing a complete solution requires joining domains such as Artificial Intelligence, Machine Learning, Computer Vision, Sensor Fusion, Signal Processing, embedded platform and Micro Controllers development.
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