Ai​/Ml Engineer; Ts​/Sci Clearance Required

• Springfield, VA
• Information Technology

In this role, you’ll help shape the strategic direction of high-impact solutions by applying advanced AI and ML methods to complex operational challenges. As part of a broad network of AI/ML engineers, you’ll work closely with software teams and mission users to design and deploy innovative capabilities that address critical remote sensing needs. You’ll play a key role in testing and implementing AI and ML concepts within a demanding, data-rich environment, supporting operators who rely on intelligent systems to scale mission effectiveness.

Your technical depth and expertise will help guide stakeholders in selecting and applying the most effective algorithms, tools, and frameworks to solve real-world problems.

This project is focused on accelerating the fusion of multi-sensor detections into persistent, time-critical object tracks. Your work will help enable rapid, reliable decision-making in operational environments by integrating AI/ML with GEOINT and sensor fusion frameworks. It is beneficial to have a strong understanding of OPIR image processing or expertise in missile systems, remote sensing, and sensor fusion.

• 4+ years of experience delivering AI/ML based solutions for object identification and classification
• 4+ years of experience with Python coding, and Python coding for AI/ML solutions
• Experience applying AI/ML to tracking, sensor fusion, or GEOINT data workflows
• Familiarity with real-time or near-real-time data processing for multi-sensor systems
• Experience with remote sensing image processing, data exploitation, and algorithm development
• Experience with software configuration management using Git
• Ability to execute machine learning models in a Linux environment
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor's degree & 4 years of experience (for mid level) or Bacehlors degree &10 years of experience (for senior level)

• Experience with AWS
• Knowledge sensor capabilities
• Background in multi-sensor data association, track correlation, or persistent surveillance analytics
• Ability to work with limited guidance and clear direction
• Possession of excellent verbal and written communication skills, with peers and clients