
501 - 1000 employees
Founded 1967
🤖 Artificial Intelligence
🔒 Cybersecurity
💰 $8.7M Grant on 2013-08
Artificial Intelligence • Cybersecurity • Defense
Riverside Research is an independent nonprofit organization dedicated to enhancing national security through innovation and scientific research. The organization focuses on various advanced technologies, including Artificial Intelligence and Machine Learning, secure systems, and advanced radar systems, to support the U. S. government's mission-related activities. Riverside Research emphasizes collaborative innovation, delivering high-quality solutions in areas like intelligence, surveillance, and reconnaissance, while also fostering a culture of community engagement and STEM outreach.
🕒 May 28
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501 - 1000 employees
Founded 1967
🤖 Artificial Intelligence
🔒 Cybersecurity
💰 $8.7M Grant on 2013-08
Artificial Intelligence • Cybersecurity • Defense
Riverside Research is an independent nonprofit organization dedicated to enhancing national security through innovation and scientific research. The organization focuses on various advanced technologies, including Artificial Intelligence and Machine Learning, secure systems, and advanced radar systems, to support the U. S. government's mission-related activities. Riverside Research emphasizes collaborative innovation, delivering high-quality solutions in areas like intelligence, surveillance, and reconnaissance, while also fostering a culture of community engagement and STEM outreach.
• Design, implement, and optimize FPGA logic using AMD/Xilinx toolchains (Vivado, Vitis, HLS) development in VHDL/Verilog • Integrate FPGA designs into larger systems, ensuring robust verification, documentation, and deployment across multiple platforms (Zynq, UltraScale+, Versal) • Develop innovative machine learning and computer vision solutions to analyze and exploit large, complex datasets from remote sensing phenomenology • Develop algorithms and associated software tools using C/C++/Python and associated machine learning libraries (PyTorch, LibTorch) • Train AI/ML models and tune their hyperparameters for a given dataset and algorithm objectives • Provide solutions for data collection and data linting that enable rapid, automated curation of training data • Keep up with the SoTA practices for AI/ML • Adhere to teams’ standards for reviewing source code, unit-testing, source code control, and documentation practices • Utilize Python PEP8 standards
• TS/SCI clearance. • Bachelors’ degree in either Computer Engineering, Electrical Engineering, Mathematics, Statistics, Physics, Computer Science, or related field of study • Twelve years’ experience with FPGA development • Seven years' experience with computer vision and/or AI/ML R&D algorithm development • Experience with Git version control, branches, and merge conflict resolution • Proficient in collaborative Office 365 tools such as MS Word, Excel, and PowerPoint • Ability to work closely with subject-matter experts to develop tools, algorithms, and datasets needed for developing relevant and useful AI/ML prototype algorithms • Self-driven, strong analytic, inferencing, critical thinking, and creative problem-solving skills • Communicates highly technical results and methods clearly and succinctly.
• Comprehensive compensation and benefit packages
Apply Now🕒 April 24
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Python
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🇺🇸 United States – Remote
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⏱ Part Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
Hadoop
Keras
Numpy
Pandas
Python
PyTorch
Scikit-Learn
Spark
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Python
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