Today
Top Secret/SCI
Mid Level Career (5+ yrs experience)
$140,000 - $200,000
No Traveling
Engineering - Systems
Springfield, VA (On-Site/Office)
Job Title: AI/ML Engineer
Location: Springfield, VA
Eligibility: Candidate must possess an active TS/SCI clearance
Job Description:
In this role, you’ll help shape the strategic direction of high-impact
solutions by applying advanced machine learning methods to complex
operational challenges. As part of a broad network of 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.
Must-Have Requirements:
- 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)
Nice If You Have:
- 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
Location: Springfield, VA
Eligibility: Candidate must possess an active TS/SCI clearance
Job Description:
In this role, you’ll help shape the strategic direction of high-impact
solutions by applying advanced machine learning methods to complex
operational challenges. As part of a broad network of 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.
Must-Have Requirements:
- 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)
Nice If You Have:
- 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
group id: 10270075
