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Senior Research Scientist - RF / Machine Learning (RFML)

Peraton
Full-time
On-site
College Park, Maryland, United States
$190,000 - $304,000 USD yearly






Responsibilities






With a distinguished heritage tracing back to Bell Labs, Bellcore, and Telcordia, our experts pave the way. Peraton Labs delivers innovative solutions and revolutionary new capabilities to solve the most difficult and complex challenges for government agencies, utilities, and commercial customers. Peraton Lab’s cybersecurity research protects mission-critical systems and national cyber infrastructure through a broad range of initiatives in computer network defense, secure-by-design techniques and cyber operations and experimentation platforms. Your expertise and areas of interest may be applied on one or more programs, providing you new opportunities to learn and grow.

 

The candidate will be responsible for leading the design, development, and prototyping of RF machine learning algorithms.









Qualifications






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

 

Requirements:

  • Strong digital signal processing skills and RF domain knowledge
  • Familiarity with common software defined radio platforms such (e.g. Ettus USRPs) and software (e.g. GNU Radio) is beneficial
  • Expertise with modern machine learning development frameworks (e.g. Keras, TensorFlow, PyTorch)
  • This role will require 100% on-site work out of College Park, MD or Laurel, MD.
  • US Citizen with an Active TS/SCI w/ Polygraph

 

Benefits: Our comprehensive Benefits and Beyond package is designed to support every aspect of your health, wealth, self and beyond.

  • Health- Comprehensive medical, dental, and vision plans, HSAs and FSAs, and supplemental health options to keep you and your family healthy all year long.
  • Well-being- We strive to support your overall well-being – including emotional, financial, social/community, and physical wellness programs.
  • PTO & holidays- Our PTO programs helps you take the time in the ways that matter most. With 20 days a year of accrued PTO, 6 paid federal holidays, 4 floating holidays, and a flexible approach, Peraton Labs avidly supports a healthy work/life balance.
  • Retirement- All regular employees are eligible to participate in Peraton’s 401(k) retirement savings plan through Fidelity. Peraton will match 100% of the first 4% you contribute, and 50% of the next 2% you contribute. All contributions are 100% vested after two years of service.
  • Career Development- We are invested in your future, and pride ourselves on providing best-in-class training to our team through Skillsoft e-Learning Suite for formal and informal learning, professional and technical certification preparation, and education assistance for career path-related courses at accredited institutions.
  • TA and Student Loan Refinancing- Peraton provides tuition and training assistance for its employees, in addition to access to a student loan refinancing service and 529 plan through tuition.io to support your continued education aspirations.

#MDPM









Peraton Overview






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 do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.









Target Salary Range






$190,000 - $304,000. This represents the typical salary range for this position based on experience and other factors.