Research Scientist - RF Machine Learning

Peraton Labs, Inc.; College Park (MD); On-site; USD 146,000 - 234,000; Full time

Job summary

Peraton Labs, Inc. is seeking a poly cleared Senior Research Scientist to lead RF/ML algorithm design and prototype development for a Maryland-based IC customer. The role focuses on RF sensing, waveform analysis, and machine learning-enabled wireless research.

You will collaborate with researchers and engineers to move concepts to working prototypes, solving complex RF and spectrum challenges in a mission-focused environment.

Qualifications

• Minimum 6+ years with a Bachelor's, 4+ with a Master's, or 2+ with a Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related discipline.
• Strong background in RF Machine Learning, digital signal processing, wireless communications, or RF systems research.
• Experience designing, developing, training, testing, or evaluating ML models for RF, wireless, spectrum, signal processing, or communications applications.
• Experience with modern ML frameworks such as PyTorch, TensorFlow, Keras, scikit-learn, or similar tools.
• Strong Python and at least one language such as C/C++, Java, or similar.
• Experience with RF data, signal captures, IQ samples, simulated waveforms, or real-world wireless datasets.
• Experience with Linux-based development environments.
• US Citizenship and an active TS/SCI w/ Polygraph.

Responsibilities

• Lead the design, development, prototyping, and evaluation of RF/ML algorithms for wireless, spectrum, and communications applications.
• Research and implement ML approaches for RF signal detection, classification, anomaly detection, emitter identification, spectrum sensing, or waveform analysis.
• Develop and evaluate algorithms using PyTorch, TensorFlow, Keras, scikit-learn, or similar tools.
• Apply DSP and RF domain knowledge to train, test, and validate models against real-world or simulated RF data.
• 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.
• Communicate research findings and outcomes through technical reports and customer briefings.
• Provide technical leadership and mentor junior researchers.

Skills

RF ML

Python

DSP

Communication

Machine Learning

Education

Bachelor's in EE/CE/CS/Math/Physics

Master's in relevant field

PhD in relevant field

Tools

PyTorch

TensorFlow

Keras

scikit-learn

GNU Radio

MATLAB

Job description

About Peraton

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we're keeping people around the world safe and secure.

About Peraton

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we're keeping people around the world safe and secure.

About The Role

Peraton Labs is seeking a poly cleared Senior Research Scientist 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.

You’ll work on mission-focused R&D efforts that move from research concepts to working prototypes and operationally relevant capabilities. You will collaborate with researchers, software engineers, signal processing experts, and customer stakeholders to solve complex problems involving RF sensing, signal characterization, waveform analysis, spectrum awareness, and machine learning-enabled wireless systems.

This position requires full-time on-site work at a customer site near College Park, MD.

Key Responsibilities May Include

• 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
• Apply strong digital signal processing and RF domain knowledge to develop, train, test, and validate models against real-world or simulated RF data
• 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
• Analyze RF signals, wireless protocol behavior, modulation characteristics, channel effects, interference, noise, and system performance
• Work with RF datasets, signal captures, IQ data, SDR platforms, and lab or field-collected spectrum data
• Support integration of RFML capabilities into larger research prototypes, testbeds, cyber experimentation platforms, or operationally relevant systems
• Communicate research findings, technical approaches, experiment results, and prototype capabilities through customer briefings, technical reports, whitepapers, and publications
• Provide technical leadership, mentor junior researchers or engineers, and help shape future RFML research direction

*This position may be eligible for an increased sign-on bonus. Eligibility, bonus amount, and applicable terms and conditions will be discussed during the recruiting process

Qualifications

Minimum Qualifications

• Minimum of 6+ years of experience with a Bachelor's degree, 4+ years of experience with a Master's degree, or 2+ years of experience with a Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related discipline. In lieu of a Bachelors, an additional 4 years of experience is required for a total of 10+ years.
• Strong background in Radio frequency Machine Learning, digital signal processing, wireless communications, or RF systems research
• Experience designing, developing, training, testing, or evaluating machine learning models for RF, wireless, spectrum, signal processing, or communications applications
• Experience with modern machine learning frameworks such as PyTorch, TensorFlow, Keras, scikit-learn, or similar tools
• Strong Experience programming in Python and at least one additional language such as C/C++, Java, or similar
• Experience working with RF data, signal captures, IQ samples, simulated waveforms, or real-world wireless datasets
• Experience working in Linux-based dev environments
• Ability 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

Desired Additional Qualifications

• 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
• Experience with RFML applications such as signal classification, modulation recognition, emitter identification, spectrum sensing, anomaly detection, interference detection, protocol inference, or RF fingerprinting
• Experience with SDR platforms such as Ettus USRP, HackRF, BladeRF, LimeSDR, or similar hardware
• Familiarity with SDR software and RF development tools such as GNU Radio, UHD/USRP, MATLAB, Simulink or similar tools
• Experience with wireless systems or protocols such as LTE, 5G, Wi‑Fi, SATCOM, MANET, tactical radio systems, mesh networks, or custom waveform environments
• Experience with RF test equipment such as spectrum analyzers, signal generators, oscilloscopes, vector signal analyzers, channel emulators, or RF front‑end equipment
• Experience with deep learning approaches for signal processing, including CNNs, RNNs, transformers, autoencoders, contrastive learning, self‑supervised learning, or generative models
• Experience with data engineering for RFML, including dataset generation, augmentation, labeling, synthetic data, simulation, model evaluation, and experiment tracking
• Experience with tools such as NumPy, SciPy, Pandas, cuSignal, CUDA, MLflow, Weights & Biases, DVC, or similar tools
• Experience integration ML models into deployable prototypes, edge systems, containers, testbeds, or cyber/radio experimentation environments
• Experience with RF cyber research, wireless security, electronic warfare, spectrum operations, protocol reverse engineering, or adversarial ML
• Ability to serve as a technical lead, task lead, or principal investigator on DoD/IC research efforts

Details

Target Salary Range: $146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.