AI/ML Engineer — Real-Time Sensor Fusion for GEOINT

Select Search Associates LLC; Springfield (VA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

AWS

Job summary

Select Search Associates LLC is seeking an AI/ML Engineer to shape strategic, high-impact solutions by applying advanced AI/ML to remote sensing challenges. You will collaborate with software teams and mission users to deploy capabilities addressing critical needs, testing AI/ML concepts in data-rich environments and guiding algorithm selection.

The project focuses on fusing multi-sensor detections into persistent object tracks, enabling rapid decision-making in operational settings with GEOINT

Qualifications

• 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).

Skills

Python coding

AI/ML modeling

GEOINT workflows

Remote sensing processing

Git configuration

Linux execution

AWS

Education

Bachelor's degree + 4 years experience

Bachelor's degree + 10 years experience

Tools

AWS

Job description

Select Search Associates LLC is seeking an AI/ML Engineer to shape strategic, high-impact solutions by applying advanced AI/ML to remote sensing challenges. You will collaborate with software teams and mission users to deploy capabilities addressing critical needs, testing AI/ML concepts in data-rich environments and guiding algorithm selection.

The project focuses on fusing multi-sensor detections into persistent object tracks, enabling rapid decision-making in operational settings with GEOINT