Secret AI/ML Machine Learning Engineer

$114,400 - $160,160/Yr

Insight Global - Aberdeen Proving Ground, MD

Full-time - Entry Level

Aberdeen Proving Ground, MD

Administrative and Support Services

About the position

Insight Global is seeking a talented ML/AI Software Engineer to support advanced radar capabilities development at the Army's premier R&D Center in Aberdeen Proving Ground, Maryland. This role involves utilizing state-of-the-art engineering and modeling tools to enhance signal processing for current and future Army radar and sensor systems, focusing on AI, Deep Learning, and Digital Signal Processing applications.

Responsibilities

• Research and implement state-of-the-art Machine Learning (ML) technologies for radar data processing.
• Exercise knowledge of software systems, artificial intelligence (AI), Deep Learning, design methods, and system of systems architectures.
• Participate in algorithmic design and machine learning frameworks including detection, classification, and targeting techniques.
• Provide analysis, requirements, and algorithm design, implementation, integration, verification, and maintenance of AI software systems.
• Collaborate across multi-functional teams to identify opportunities for improving IT services enterprise.
• Understand supporting technologies including cloud computing, containerization, parallelization, databases, and Git.
• Integrate AI engine/techniques with modeling and simulation applications.
• Self-manage responsibilities to ensure timely completion of activities.
• Publish and present research at international and government conferences.

Requirements

• BS in Electrical Engineering, Computer Engineering, Computer Science, Physics, or similar field.
• 2-3 years of relevant experience with AI/ML in complex software systems.
• Knowledge of digital signal processing applied to radar signals.
• 2-3 years of programming in modern C++.
• Experience using Python or Matlab for analyzing data sets.
• Experience with running and modifying simulations and performing analysis.
• Strong knowledge of software systems, machine learning, design methods, and system of systems architectures.

Nice-to-haves

• MS in Electrical Engineering, Computer Engineering, Computer Science, Physics or similar field.
• Background working with Airborne Radars or similar UAV/UAS programs.
• Experience with Digital Signal Processing related to imaging the ground and sending data back to base.
• Ability and interest to go on-site frequently.
• Experience implementing ML technologies tailored for RF data processing.

Benefits

• Medical, dental, and vision insurance starting on the 31st day of employment.
• HSA, FSA, and DCFSA account options.
• 401k retirement account access with employer matching.
• Paid sick leave and/or other paid time off as provided by applicable law.