Hiring: Research Scientist - RF Machine Learning Company: Peraton Labs Location: College Park, MD Job Posted Time: 2026-09-16 18:23:23 Employment Type: Full-time / On-site Target Skills & Keywords : AI, C, C++, Deep Learning, Java, Keras, Linux, MATLAB, MLflow, Machine Learning, NumPy, Pandas, PyTorch, Python, R, SciPy, TensorFlow, Transformers, scikit-learn About the job Required Skills: •Is seeking a poly cleared •To support cleared research and development efforts for a Maryland-based IC customer. This role will focus on leading the design, development, prototyping, and evaluation of RF Machine Learning algorithms and signal processing techniques for advanced wireless, spectrum, cyber, and communications research. •This position requires full-time on-site work at a customer site near College Park, MD. •Lead the design, development, prototyping, and evaluation of RF/ML algorithms for wireless, spectrum, and communications applications •Research and implement machine learning approaches for RF signal detection, classification, characterization, anomaly detection, emitter identification, spectrum sensing, or waveform analysis •Develop and evaluate algorithms using modern machine learning frameworks such as PyTorch, TensorFlow, Keras, scikit-learn, JAX, or similar tools •Design data collection, labeling, preprocessing, feature extraction, training, evaluation, and experimentation workflows for RFML research •Develop software prototypes using Python, C/C++, MATLAB, GNU Radio, or similar tools Qualifications: •Strong background in Radio frequency Machine Learning, digital signal processing, wireless communications, or RF systems research •Strong Experience programming in Python and at least one additional language such as C/C++, Java, or similar •Demonstrated capacity to develop, test, troubleshoot, document, and demonstrate research prototypes •Strong written and verbal communication skills, including the ability to present technical concepts and research results to technical stakeholders •US Citizenship is a requirement for this position •This position requires an active/current TS/SCI w/ Polygraph •Advanced degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related technical field is preferred •Demonstrated history of research in Machine Learning and RF spectrum domains, including publications, prototypes, proposals, patents, technical reports, or customer-facing research briefings Compensation: •$135,000 - $216,000 / year •This position may be eligible for an increased sign-on bonus Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!