Senior Research Scientist - Radio Frequency Machine Learning; RFML

Senior Research Scientist - Radio Frequency Machine Learning (RFML)

Join to apply for the Senior Research Scientist - Radio Frequency Machine Learning (RFML) role at Peraton Labs
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Peraton is a next-generation national security company that drives missions of consequence spanning the globe. 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  to learn how we’re keeping people around the world safe and secure.

The program, led by Peraton Labs with external infrastructure support, conducts advanced research for the customer on topics including cybersecurity, RF solutions, and quantum communications. Mission focus is on developing next‑gen tools for detecting cyber‑attacks, enhancing network resilience, and improving small‑form factor sensor systems while maintaining a focus on cutting‑edge technologies like machine learning and software‑defined networking.

Peraton Labs delivers innovative solutions and revolutionary new capabilities to solve the most difficult and complex challenges for government agencies, utilities, and commercial customers. The candidate will be responsible for leading the design, development, and prototyping of RF machine learning algorithms.

• Minimum of 8 years with BS/BA;
  Minimum of 6 years with MS/MA;
  Minimum of 3 years with PhD

• Strong digital signal processing skills and RF domain knowledge.
• Expertise with modern machine learning development frameworks (e.g., Keras, Tensor Flow, PyTorch).
• History of conducting research in the Machine Learning and RF spectrum domains.
• This role requires 100% on‑site work out of College Park, MD or Laurel, MD.
• Must have a current/active TS/SCI w/ Polygraph.

• Familiarity with common software‑defined radio platforms such as Ettus USRPs and GNU Radio is beneficial.

• Health—Comprehensive medical, dental, and vision plans, HSAs and FSAs, and supplemental health options.
• Well‑being—Support for overall well‑being programs.
• PTO & holidays—20 days a year accrued PTO, 6 paid federal holidays, 4 floating holidays.
• Retirement—401(k) retirement savings plan with company match 100% of first 4% contributed and 50% of next 2% contributed.
• Career Development—Training and certification preparation, education assistance for career path courses.
• TA and Student Loan Refinancing—Tuition and training assistance and access to student loan refinancing service.

Target Salary Range: $176,000 - $282,000. Salary is determined by various factors including scope and responsibilities, experience, education, skills, and geographical location.

The application period for the job is estimated to be 30 days from the job posting date.

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