Peraton · 1 week ago
Senior AI Research Scientist
Peraton is a next-generation national security company that drives missions of consequence. They are seeking a Senior AI Research Scientist to influence national strategies and policies by guiding decisions on integrating next-generation technologies like Artificial Intelligence (AI) and unmanned aircraft systems (UAS), while collaborating with leadership and research teams to address complex scientific challenges in aviation.
Information TechnologyRobotics
Responsibilities
Provide guidance and strategic direction on research initiative to ensure they align with FAA requirements and program objectives
Collaborate with leadership, research teams, and external partners to identify research opportunities, develop methodologies, advance innovations, and address complex scientific challenges
Collaborate with leading experts in government, academia, and industry to address some of the most complex challenges in modern aviation
Influence national strategies and policies by guiding decisions on integrating next-generation technologies like Artificial Intelligence (AI), satellite navigation, and unmanned aircraft systems (UAS)
Contribute to critical research programs at premier facilities such as the William J. Hughes Technical Center, where cutting-edge simulations and testing shape the National Airspace System (NAS)
Bridge research and operational application, ensuring innovative solutions are practical, safe, and ready for deployment across the aviation ecosystem
Conduct and guide research and development on technologies supporting the NAS, airport infrastructure, and air traffic management
Provide technical leadership and advisory support to FAA leadership on emerging technologies such as AI, satellite navigation, UAS, and advanced communications
Lead or contribute to design, testing, and innovation initiatives for next-generation aviation systems
Prepare technical reports, white papers, and presentations for FAA leadership and external advisory groups
Participate in special programs related to environmental and energy research
Oversee or support contractor-led research efforts to ensure alignment with FAA priorities and standards
Qualification
Required
U.S. Citizenship Required
Must have the ability to obtain / maintain a Public Trust clearance
Bachelor's degree and 12 years in Engineering, Computer Science, Physics, or a related technical field of experience or Masters degree and 10 years or PHD and 7 years experience
Proven experience in research and development, data analysis, or specialized technical areas such as aerospace systems, AI, human factors, or wireless communications
Strong analytical, quantitative, and written communication skills, with the ability to translate complex concepts into actionable recommendations
Demonstrated expertise in one or more areas such as air traffic management systems, UAS integration, satellite navigation, environmental and energy research, or AI applications for aviation
Proven experience leading multi-disciplinary research teams or large-scale R&D projects
Hands-on experience with data analysis tools, modeling and simulation platforms, or advanced software development environments used in aviation research
Expertise in one or more programming languages: C. C++. Python
AI/ML research experience, preferably with academic publications
Hands-on development experience in AI/ML model building and tuning
Experience in large language models
Modern software development practices and toolsets (Git, CI/CD toolchains)
Preferred
Exposure to FAA programs or NAS systems
Advanced degrees such as a master's or Ph.D. strongly preferred
Advanced knowledge of aviation systems, UAS integration, AI applications, or satellite navigation systems
Experience participating in national advisory committees or providing strategic guidance for federal research programs
Familiarity with FAA research environments or facilities like the William J. Hughes Technical Center
Published research or recognized contributions to aerospace, human factors, or emerging aviation technologies
Familiarity with FAA regulations, national airspace policies, or international aviation standards (e.g., ICAO)
Machine Learning libraries, such as TensorFlow, PyTorch, etc
NLP models and platforms, such as Llama2 and Hugging Face, etc
End-to-end machine learning model development experience
Linux, containers such as Docker, and orchestration tool such as Kubernetes
Cloud services experience (AWS, Azure)
Benefits
Medical
Dental
Vision
Life
Health savings account
Short/long term disability
EAP
Parental leave
401(k)
Paid time off (PTO) for vacation
Company paid holidays
Company
Peraton
Peraton Fearlessly solving the toughest national security challenges.
Funding
Current Stage
Late StageRecent News
2025-09-25
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