AI/ML Autonomy Engineer (Mission Systems) - Flexible Work

Lockheed Martin Corporation

Maryland

On-site

USD 136,000 - 252,000

Full time

4 hours ago
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Benefits offered by this job

Medical
Dental
Vision
Flexible work arrangements
401(k) match
Paid time off
Holidays
Parental Leave
EAP
FSAs
Education Assistance
Life Insurance
Short-Term Disability
Long-Term Disability

Job summary

Lockheed Martin Corporation is seeking a highly skilled professional to develop, integrate, and deploy autonomy and AI algorithms across mission systems. You will translate requirements into robust software, troubleshoot issues, and craft human–machine interfaces for LM products and platforms.

The role emphasizes experience with ML frameworks (PyTorch, TensorFlow) and AWS tools, with a path toward advanced autonomy systems and full-stack software development across JavaScript, Python, and Java.

Qualifications

  • Five years of applied ML experience in programs of similar scope and complexity.
  • Master's or PhD in advanced math, AI, data science, CS or deep learning; 5 additional years with a Bachelor's may substitute for a Master's.
  • Experience with standard ML frameworks (e.g., PyTorch, TensorFlow).

Responsibilities

  • Develop, integrate, and deploy autonomy and AI algorithms for LM products and platforms.
  • Translate requirements into software implementations and apply AI/ML to hardware/software systems.
  • Review test outcomes, troubleshoot, and debug autonomous software.
  • Develop human-machine interface scenarios and document interface requirements.

Skills

AI/ML frameworks
Model training
SageMaker
Full-stack dev
Data structures
AI/SI dev

Education

Master's or PhD in AI/CS/math/dl

Tools

SageMaker
Lambda
EC2
S3

Job description

Lockheed Martin Corporation is seeking a highly skilled professional to develop, integrate, and deploy autonomy and AI algorithms across mission systems. You will translate requirements into robust software, troubleshoot issues, and craft human–machine interfaces for LM products and platforms.

The role emphasizes experience with ML frameworks (PyTorch, TensorFlow) and AWS tools, with a path toward advanced autonomy systems and full-stack software development across JavaScript, Python, and Java.

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