Engineer Machine Learning (ML)/Artificial Intelligence

$70,500 - $123,400/Yr

Parsons - Aberdeen, MD

Full-time - Mid Level

Aberdeen, MD

Professional, Scientific, and Technical Services

About the position

The Engineer - Machine Learning (ML)/Artificial Intelligence (AI) position at Parsons Corporation involves developing innovative solutions in the field of RF signal and data processing. The role focuses on utilizing advanced AI/ML technologies to enhance radar capabilities for the Army, contributing to ongoing research and development efforts at a premier R&D center. The engineer will work collaboratively within a high-performing team to design, implement, and integrate machine learning algorithms into radar systems, ensuring the delivery of cutting-edge capabilities critical to national security.

Responsibilities

• Provide analysis, requirements and algorithm design, implementation, integration, verification, and maintenance of artificial intelligence software systems.
• Research and implement state-of-the-art ML technologies tailored for application to RF data processing.
• Exercise a strong knowledge of software systems, AI/ML design methods, and system of systems architectures.
• Understand supporting technologies including cloud computing, containerization, parallelization, databases, and Git.
• Collaborate across multi-functional teams to identify opportunities for improving the Advanced Engineering and Modeling and Simulation Experimentation Environment and Solutions.
• Participate in algorithmic design and machine learning frameworks including classification and targeting techniques.
• Understand and follow development operations procedures such as source control, change management and release planning.
• Integrate AI engine/techniques with modeling and simulation applications.

Requirements

• BS in Electrical Engineering, Computer Engineering, Computer Science, Physics or similar field
• 2-3 years of experience with AI/ML in complex software systems
• Knowledge of domain specific radar principles, including signal processing; target acquisition; target tracking; resource management; discrimination; and battle manager interfaces
• 3 years of programming in modern C++
• Experience using tools such as MATLAB or Python for analysis of data sets
• Experience with running and modifying simulations and performing analysis

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Paid time off
• Employee Stock Ownership Plan (ESOP)
• 401(k)
• Life insurance
• Flexible work schedules
• Paid holidays