AI Machine Learning Engineer, Staff Level 4

Lockheed Martin

Hybrid

Quick summary

Work type
Hybrid
Location
Fort Worth, TX
Posted
3 days ago
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $212k
$161k most similar roles pay here $271k

This listing doesn't post a salary. Most similar roles pay $174,076–$249,750.

Based on 240 similar postings.

Employer

About Lockheed Martin

Lockheed Martin is a global aerospace, defense, and security company that designs, develops, and manufactures advanced technology systems, products, and services for government and commercial customers worldwide.

Lockheed Martin currently has 611 open roles on FindRole.

Listed pay typically runs $101,000–$178,135 across 304 roles with salary data.

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At a glance

TL;DR · AI Machine Learning Engineer, Staff Level 4

Role Posting Log in to save

As a Senior Machine Learning Engineer on Lockheed Martin’s Supplier Quality Management team, you will design and develop end-to-end AI/ML solutions to support new feature development and system improvements. Your day-to-day responsibilities include collaborating with cross-functional teams to identify high-value use cases, participating in code reviews, and ensuring that AI systems meet LMPI sensitivity requirements. You will leverage Python, PyTorch, TensorFlow, and other modern ML frameworks while staying current with emerging technologies. This role involves working on complex problems in an aerospace environment, contributing to technical roadmaps, and creating documentation for the broader AI/ML community.

Skills

Python PyTorch TensorFlow scikit-learn AWS GitLab LangChain AutoGen CrewAI agile development SQL Hana DevSecOps version control CI/CD

What you'll do

  • Design and deploy end-to-end AI/ML solutions for enterprise use.
  • Identify and prioritize requirements for AI system improvements with stakeholders.
  • Ensure high-quality AI systems through participation in design, code reviews, and testing.
  • Stay informed on emerging AI technologies to enhance SQM toolsets and systems.
  • Lead small cross-functional project teams to execute AI projects effectively.

What we're looking for

  • Bachelor's degree in Engineering, Computer Science, Systems Engineering, or related field.
  • Strong proficiency in Python and modern ML frameworks like PyTorch, TensorFlow, scikit-learn.
  • Experience with LLM deployment, prompt engineering, RAG architectures, AI agent frameworks.
  • Familiarity with cloud computing services such as AWS and pipeline automation tools like GitLab.
  • Ability to design and deliver end-to-end AI systems with minimal oversight.
  • Excellent communication skills for conveying complex AI/ML concepts to various audiences.

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