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Role Overview: We are looking for a seasoned Principal / Director Machine Learning Engineer with over 10 years of experience in radar and RF signals, video and image processing, or classification, along with deep expertise in real-time signal processing and embedded systems.
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Post-doctoral research experience is desired as well as research or training in areas such as machine learning and/or deep learning in a biomedical context, signal processing and analysis for biomedical data, bioinformatics, computer vision, or other related areas.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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The Distinguished R&D Microwave & Sensor Engineer will be a national expert in digital signal processing, spectral analysis, operational system concepts and architectures, and artificial intelligence and machine learning applications.
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The Principal Software Engineer - FPGA and DSP (Digital Signal Processing) will be responsible for the design and development of embedded DSP and software infrastructure IP blocks, targeting application areas experiencing increasing emphasis on the foundational and advanced communication algorithms and the associated signal processing for SATCOM/Telemetry/EW/Radar applications.
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Signal Processing: Experience with radar signal processing techniques, DSP algorithms, and Machine Learning is preferred. Extensive industry experience as an Embedded Software Engineer, with a focus on embedded systems and low-level programming.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with SIGINT, Digital Signal Processing, or Electronic Warfare software systems is a plus. Overview Project Manager Location: Aberdeen Proving Grounds, MD Clearance: Active TS/SCI The Project Manager role leads a major DevSecOps (DSOP) program within a DoD environment supporting Signals Intelligence and Digital Signal Processing (DSP.
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MUST HAVE Master’s in Computer Science, Computer Engineering or related Engineering, Machine Learning, or related field; 3 yrs relevant experience in one of the following: Machine Learning, Natural Language processing, or Ontology Engineering technologies; and required skills.
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Experience with Signal Intelligence (SIGINT), Digital Signal Processing (DSP) or DSP related software. Design, develop, test, deliver, and maintain software for (DSP) Digital Signal Processing applications.
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The Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipelines based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle issues or provide recommendations for the next step of solving problems.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.
$131,584 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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TensorFlow, PyTorch, Keras (for deep learning and complex machine learning, including neural networks and advanced AI) AWS SageMaker (for end-to-end machine learning development, training and scalable machine learning in a managed cloud enviornment.
$75 an hourRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Familiarity with AI/ML - Anomaly detection, Data Visualization Supervised and unsupervised learning, Deep learning networks, Natural Language Processing or Computer Vision, Recommender Systems, Python, and Software/ML tools.
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Strong technical background and leadership experience in national security research applications, including several of the following key areas around electromagnetic spectrum operations and intelligent systems: electronic warfare (EW), radar, antennas, electromagnetics, systems engineering, artificial intelligence, machine learning, acoustics, physical phenomenology, robotics, command and control, network communications, software and hardware development, and signal and data processing, etc.
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Experience in embedded electronics, VHDL, Verilog, System Verilog, Schematic capture, signal processing, RF, FPGA. Digital Signal Processing. Specific tasks include circuit analysis, circuit simulation, FPGA programming, design documentation, design verification and testing, and integration of hardware and software at the level of electronic components and circuit boards.
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machine learning software signal processing jobs Title: power systems engineer
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