Cognitive Science Engineer – AI/ML

Role Overview

• Support innovative research efforts by leveraging advanced AI/ML expertise to evaluate, develop, and transition emerging technologies
• Provide strategic assessments of current and emerging technologies, delivering insights to senior leaders on feasibility, risk, and defense applications
• Conduct background research to evaluate novel technological concepts and their relevance to mission needs
• Develop data-mining architectures, models, protocols, statistical reporting, and analytic methodologies to identify trends in large and complex datasets
• Research, design, and develop advanced AI algorithms and solutions at the intersection of AI and data science
• Apply AI and ML methods to refine, optimize, and enhance existing and newly developed algorithms
• Provide analysis, requirements development, algorithm design, implementation, integration, verification, and maintenance for AI software systems
• Collaborate across multi-functional teams to identify opportunities for improving enterprise-level IT services and advanced engineering solutions
• Research and implement ML techniques tailored for processing Radio Frequency (RF) data
• Exercise a strong understanding of software systems, deep learning, AI design methods, and system-of-systems architectures
• Leverage supporting technologies such as cloud computing, containerization, parallelization, database systems, and Git-based source management
• Participate in algorithm design, targeting techniques, classification frameworks, and ML development cycles
• Integrate AI engines and ML techniques into modeling and simulation applications
• Follow standard DevOps practices, including source control, change management, and release planning
• Manage workload independently and ensure timely completion of tasks and deliverables

Requirements

• 2 years of relevant experience with bachelor's in related field; 0 years of experience with master's in related field; or High School Diploma or equivalent and 6 years relevant experience
• 5 years relevant experience with bachelor's in related field; 3 years relevant experience with master's in related field; 0 years experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience
• 9 years relevant experience with bachelor's in related field; 7 years relevant experience with master's in related field; 4 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 13 years relevant experience
• 15 years relevant experience with bachelor's in related field; 13 years relevant experience with master's in related field; 10 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 19 years relevant experience
• Demonstrated experience researching, designing, developing, and implementing AI/ML algorithms and models
• Strong understanding of data-mining methodologies, statistical analysis, and large-scale data processing
• Experience developing analytical architectures, data models, and protocols that support trend identification and decision advantage
• Experience with deep learning, neural networks, and advanced ML frameworks
• Knowledge of RF data processing or experience applying ML to signal-processing problem sets (preferred)
• Proficiency with supporting technologies, including cloud platforms, containerization tools, parallel computing, databases, and Git
• Experience integrating AI/ML capabilities with modeling, simulation, or advanced analytic environments
• Strong understanding of software-development lifecycles, DevOps practices, algorithm verification, and system integration
• Demonstrated ability to communicate complex technical concepts to both technical and non-technical stakeholders
• Proven ability to self-manage workload, prioritize tasks, and deliver high-quality results in a dynamic environment.

Tech Stack

• Cloud

Benefits

• Best-in-class medical, dental and vision plan choices
• Wellness resources
• Employee assistance programs
• Savings Plan Options (401(k))
• Financial planning tools
• Life insurance
• Employee discounts
• Paid holidays and paid time off
• Tuition reimbursement
• Early childhood and post-secondary education scholarships