Machine Learning Research Scientist

Machine Learning Research Scientist at Peraton Labs

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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.

The program, led by Peraton Labs with external infrastructure support, conducts advanced research for the customer on a variety of 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.

We are actively seeking a software engineer with machine learning experience to join our team of software research scientists working on cleared research within the Maryland customer footprint. The perfect candidate for this role is someone with a strong technical prowess, inquisitive and curious nature, and a strong desire to learn.

• Conduct RF machine learning research or develop signal processing algorithms for wireless systems.
• Communicate results through customer presentations and publications.
• Write design documents, simulation reports, and system documentation.

• Bachelor’s degree with at least 2 years of experience or a Master’s degree with no required experience in Computer Science-related fields.
• Experience coding in Python, C/C++, or Java.
• Interest or experience in digital signal processing, RF software engineering, algorithm development, software‑defined radio, or machine learning.
• Experience with modern machine learning development frameworks and platforms (e.g., Keras, Tensor Flow, PyTorch).
• U.S. Citizen with an active TS/SCI Polyglot clearance.

• Familiarity with software‑defined radio platforms such as Ettus USRPs and GNU Radio.
• Knowledge of Open Air Interface (OAI) or srsLTE software stacks.
• Experience with multiple‑antenna or distributed signal processing techniques.
• Knowledge of LTE standards.

Target Salary Range: $80,000 – $128,000. Salary is determined by factors including scope and responsibilities, the individual's experience, education, knowledge, skills, geography, and business considerations. Employees may be eligible for overtime, shift differential, and discretionary bonuses in addition to base pay.

Benefits include medical, dental, vision, health savings accounts, flexible spending accounts, wellness programs, paid time off, holidays, 401(k) retirement savings plan with matching, career development resources, and tuition and student loan refinancing assistance.

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