Home » Machine Learning Modeling and Simulation Engineer

Machine Learning Modeling and Simulation Engineer at SAIC

Position Machine Learning Modeling and Simulation Engineer
Posted 25 Mar 2026
Expired 24 Apr 2026
Company SAIC
Location Chantilly | US
Job Type Full Time

Job Description:

Latest job information from SAIC for the position of Machine Learning Modeling and Simulation Engineer. If the Machine Learning Modeling and Simulation Engineer vacancy in Chantilly matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at SAIC for the position of Machine Learning Modeling and Simulation Engineer below matches your qualifications.

Job ID 2610347

Location Chantilly, VA, US

Date Posted 2026-03-17

Category Engineering and Sciences

Subcategory Modeling/Sim Engr

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 seeking an experienced Machine Learning Modeling and Simulation Engineer to support a customer in Chantilly, VA. The successful applicant will demonstrate flexibility in task execution and provide technical expertise across a variety of Machine Learning (ML) and Modeling and Simulation (M&S) topics, including developing and training ML models, designing simulation frameworks, conducting performance analyses, and applying data-driven approaches to solve complex problems. In this role, the successful candidate may also assist with Systems Engineering topics (e.g., requirements, configuration management, readiness, verification and validation, etc.) to ensure seamless integration of ML capabilities within simulation environments. As a trusted advisor, the candidate will be expected to provide value-added judgment and offer strategic recommendations to the customer on program objectives, advanced technologies, and system enhancements. The successful candidate will produce highly detailed, practical, and consistent deliverables that align with the organization’s mission and objectives, with a focus on innovation and cutting-edge solutions in machine learning and simulation.

The successful candidate will

  • Develop and maintain physics-based simulation models of spacecraft systems, including structures, sensors, and mission environments.
  • Perform end-to-end performance modeling for satellite missions, integrating sensor, orbital, and environmental models.
  • Conduct sensor phenomenology studies, including optical, infrared, or radar modeling for detection, tracking, and signature analysis.
  • Perform orbital mechanics modeling including orbit determination, orbital maneuvering, and spacecraft flight dynamics.
  • Use scripting languages (Python, MATLAB, or similar) to automate workflows, perform data analysis, and interface between simulation tools.
  • Apply Artificial Intelligence/Machine Learning (AI/ML) techniques (e.g., supervised/unsupervised learning, reinforcement learning, predictive modeling) to enhance simulation fidelity and performance.
  • Develop AI/ML models to analyze and predict satellite system behaviors, performance metrics, and mission outcomes based on simulation data.
  • Design and implement algorithms for anomaly detection, predictive maintenance, and optimization of satellite operations.
  • Use statistical and machine learning techniques to analyze data, identify patterns, and uncover insights relevant to satellite systems.
  • Integrate AI/ML models into existing simulation frameworks and tools to enhance their capabilities.
Qualifications
  • Bachelor's or Master's degree in Aerospace Engineering, Mechanical Engineering, Physics, or a related field with 12+ years of professional technical experience.
  • 3+ years of experience in modeling and simulation for aerospace or space systems.
  • Active Top Secret/SCI w/Poly Clearance.
  • Strong understanding of sensor phenomenology --such as optical, infrared, or radar systems --and associated modeling methods.
  • Intermediate Python programming experience, demonstrated through hands‑on experience with tasks such as data manipulation, automation, and development of Python-based solutions. Experience with libraries such as NumPy, SciPy, pandas, and matplotlib is beneficial.
  • Ability to communicate technical results clearly in written and verbal formats.

#J-18808-Ljbffr

Job Info:

  • Company: SAIC
  • Position: Machine Learning Modeling and Simulation Engineer
  • Work Location: Chantilly
  • Country: US

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Machine Learning Modeling and Simulation Engineer at the office Chantilly above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.

THIS JOB POSTING HAS EXPIRED (Over 30 days ago).
Please search for the latest job opportunities on our Homepage.

Similar Job Vacancies

  Electrician at Kelko Electric Inc
Posted: 1 week ago

Desc: Job DescriptionJob DescriptionSeeking Licensed Journeyman Electrician to perform Commercial service and light construction. Candidate must possess:Valid Drivers LicenseValid Va State Journeyman Licens...

Company: Kelko Electric Inc | Location: Chantilly
  Job Search Agregator 2026
About Us
Privacy Policy
Disclaimer
Terms and Conditions
Contact Us
Submit XML Feed

© Jobkos

  By visiting the Jobkos website, viewing, accessing, or using any of the services or information created, collected, compiled, or submitted to Jobkos, you agree to be bound by the following Terms and Conditions of Service.
Created by Jobkos | | | |