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Job Description

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

About the role

The AI/ML Machine Learning Engineer is positioned within the Space AI Talent Center at Lockheed Martin. The role focuses on applying AI and ML methods to address complex Space-domain challenges in support of national security, collaborating across research, data science, software development, physics, and mathematics.

Responsibilities

  • Join a cross-functional team of experts spanning research, data science, software development, physics, and mathematics.
  • Apply state-of-the-art AI and ML tools and techniques to tackle advanced Space-domain problems in service of national security.
  • Collaborate with a diverse group of professionals, drive innovation, and contribute to solutions addressing critical Space-domain challenges.

Requirements

  • Bachelor's degree in a STEM discipline (examples include Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics) or an equivalent combination of education, training, and experience in a related technical field.
  • 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.

Technologies

  • Python
  • Java
  • C++
  • C#
  • MATLAB
  • TensorFlow
  • PyTorch
  • Keras
  • Scikit-learn
  • AWS

Details

  • Location: Herndon, VA (onsite)
  • Salary: USD 89,300 - 157,435 per year
  • Education: Bachelor's degree in a STEM discipline or equivalent
  • Security Clearance: Top Secret; TS/SCI clearance required to start; US Citizen
  • Schedule: 9x80 schedule with every other Friday off
  • Work Arrangement: Onsite Full-time
  • Experience Level: Experienced Professional
  • Business Unit: SPACE
  • Type: Full-Time
  • Shift: First
  • Job ID: 719873BR
  • Date Posted: Jun. 08, 2026
  • Relocation: Possible

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