Associate Full Stack Machine Learning Engineer Jobs in Warner Robins, GA

Job Number: R0243607
Modeling and Simulation Engineer
The Opportunity:
Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact in transforming today's Air Force for tomorrow's fight? You understand your customer's environment and how to develop the right systems for their mission. Your ability to translate real-world needs into technical specifications makes you an integral part of delivering a customer focused engineering solution.
As a modeling and simulation engineer on our team, you have the chance to advance battle management, command, and control capabilities for the DoW by building high-fidelity models for critical subsystems, including avionics, flight controls, hydraulics, propulsion, and electronic warfare. Your customer will trust you to not only design and develop these models but also evolve them with advanced technology solutions. On our team, you'll be able to broaden your skillset into areas like Artificial Intelligence, Machine Learning, and Advanced Technologies. Join our team and create the future for the DoW and the United States Air Force.
Join us. The world can't wait.
You Have:

• 5+ years of experience with engineering on military aviation platforms
• Experience designing and integrating comprehensive M&S frameworks that accurately replicate aircraft performance and operational environments
• Experience using and applying tools such as MATLAB, Simulink, Ansys, Amesim, or Cameo Systems Modeler
• Knowledge of aircraft subsystem architectures, MIL-STD specifications, and USAF airworthiness standards
• Ability to obtain a Secret clearance
• Bachelor's degree in Aerospace, Mechanical, Electrical, or Systems Engineering

Nice If You Have:

• Experience with Model-Based Systems Engineering (MBSE) methodologies
• Experience running complex, multi-domain simulations to evaluate system upgrades, safety margins, and structural modifications
• Experience with real-time hardware-in-the-loop (HIL) or software-in-the-loop (SIL) testing
• Experience with aircraft technical data, flight dynamics, and their sustainment
• Top Secret clearance
• Master's degree in Aerospace, Mechanical, Electrical, or Systems Engineering
• INCOSE ASEP or CSEP Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.