SAIC
SAIC

AI/ML Engineer Principal

Chantilly, VA, US • Posted 56 minutes ago • Updated 56 minutes ago
Full Time
On-site
USD $120,001.00 - 160,000.00 per year
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Job Details

Skills

  • Science
  • Recruiting
  • Acquisition
  • Decision Support
  • Testing
  • Programming Languages
  • Collaboration
  • Computer Science
  • Data Science
  • Applied Mathematics
  • Management
  • Python
  • C++
  • Data Analysis
  • EDA
  • Performance Appraisal
  • Data Processing
  • Cloud Computing
  • Security Clearance
  • Artificial Intelligence
  • Surveillance
  • Physics
  • Modeling
  • Machine Learning (ML)
  • Workflow
  • Algorithms
  • Resource Allocation
  • Sensors
  • HPC
  • Training
  • Evaluation
  • Astrodynamics
  • Satellite
  • Remote Sensing
  • System Integration Testing
  • Demonstrations
  • Information Technology
  • Systems Engineering
  • FOCUS

Summary

Job ID: 2617793

Location: Chantilly, VA, US

Date Posted: 2026-10-12

Category: Engineering and Sciences

Subcategory: Systems Engineer

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE

Description

SAIC is hiring a AI/ML Engineer to join a mission-driven, multi-disciplinary analysis team in Chantilly, VA. This role supports the design, acquisition, and operation of national security space systems by developing and integrating AI/ML capabilities into modeling and simulation environments for government satellite programs in Earth orbits, with a focus on mission planning and space domain awareness.

Responsibilities include, but are not limited to:
  • Develop and apply AI/ML algorithms and workflows to support satellite mission planning, space domain awareness, and resilient mission operations.
  • Perform end-to-end ML development, including data exploration, feature engineering, model training/tuning/validation, and performance assessment using supervised, unsupervised, and reinforcement learning.
  • Implement and optimize algorithms for classification, tracking, anomaly detection, and decision support using optical and radar space-surveillance sensor data.
  • Design, build, and maintain scalable HPC or HPC-like pipelines and workflows for large-scale model training, testing, and deployment.
  • Use programming languages such as Python and/or C++ to extend modeling, simulation, and data analysis tools for space-domain problems.
  • Collaborate with satellite designers, operations planners, and subject-matter experts to translate mission needs into AI/ML requirements and integrate solutions into broader modeling and simulation efforts.
  • Conduct trade studies and technical assessments, review algorithms and models from internal and external teams.


Qualifications
  • Minimum 2 years of relevant experience and Bachelor's Degree in Computer Science, Data Science, Applied Mathematics, Engineering, Physics, or related technical; a Master's degree may substitute for some years of experience.
  • Experience designing, implementing, and evaluating ML algorithms (e.g., supervised, unsupervised, reinforcement learning) on real-world data sets.
  • Proficiency in at least one major AI/ML programming language (such as Python or C++), including use of common ML and data libraries/frameworks.
  • Experience conducting exploratory data analysis (EDA) and developing predictive models, including training, tuning, validation, and quantitative performance evaluation.
  • Experience with scalable data processing or model-training pipelines in an HPC or cloud-like environment.

Clearance Requirements:
  • Active TS/SCI with an active and current Polygraph.
  • Position is fully on-site in Chantilly, VA; no remote work available.

Preferred Qualifications:
  • Experience applying AI/ML in the space domain (e.g., satellite operations, space surveillance, tracking, or space domain awareness).
  • Experience with optical and/or radar sensor data for detection, classification, or tracking.
  • Experience with physics-based modeling and simulation tools and integrating ML solutions into those workflows.
  • Experience developing or optimizing algorithms for anomaly detection, mission planning, resource allocation, or sensor tasking.
  • Experience building and operating HPC pipelines for large-scale model training and evaluation.
  • Familiarity with astrodynamics, satellite mission design, or remote sensing concepts.

Physical Requirements:
  • Work is performed in office and classified lab environments, requiring the ability to sit or stand for extended periods and use standard office equipment.
  • May involve walking between secure facilities and attending on-site meetings and demonstrations.


Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10111346
  • Position Id: 2617793
  • Posted 56 minutes ago

Company Info

About SAIC

SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion.​​​ For more information, visit saic.com. For ongoing news, please visit our newsroom.

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