This position is no longer accepting applications
Closed on July 13, 2026.
AI/ML Machine Learning Engineer
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Job Description
Lockheed Martin Space offers a mission-driven, collaborative environment with a comprehensive benefits package and competitive compensation. This AI/ML Engineer role is an on-site opportunity at the Space AI Talent Center in Herndon, Virginia, where cross-disciplinary teams apply AI and ML to tackle Space domain challenges in support of national security. The position is full-time, with a 9x80 work schedule and every other Friday off, and carries a salary range of USD 89,300 to 157,435 per year.
Security and eligibility: A government security clearance is required to start. You must be a U.S. citizen for consideration. The role requires Top Secret clearance, with TS/SCI clearance to start.
Benefits
- Medical
- Dental
- Vision
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- 401(k) match
- Flexible Spending Accounts
- EAP
- Education Assistance
- Parental Leave
- Paid time off
- Holidays
Responsibilities
- Join a cross-functional team of researchers, data scientists, software developers, physicists, and mathematicians.
- Leverage advanced AI and ML tools to address some of the most complex Space domain challenges in support of national security.
- Collaborate with a diverse group of professionals, driving innovation and contributing to solutions that tackle critical Space problems.
Requirements
- Bachelor's degree in a STEM discipline such as Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics, or an equivalent combination of education, training, and experience.
- Advanced experience in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, or Image Processing.
- Experience with modern software development tools and practices.
- TS/SCI clearance required to start; Top Secret clearance level in place.
- Experience level: Experienced Professional.
- Relocation: Possible.
Technologies
- Python
- Java
- C++
- C#
- MATLAB
- TensorFlow
- PyTorch
- Keras
- Scikit-learn
- AWS