AI Machine Learning Engineer, Lockheed Martin

AI Machine Learning Engineer, Lockheed Martin

Company Lockheed Martin
Job title AI Machine Learning Engineer
Job location Manassas, Virginia
Type Full Time

Responsibilities:

  • Working in a high-performance computing environment and being involved in creative ML work.
  • Software development & containerization.
  • Display & database integration.
  • Partnering with the peer engineering organizations and chief engineer offices.

Requirements & Skills:

  • Have a background in software engineering, DevOps, artificial intelligence, and machine learning.
  • Be passionate about a broad range of projects from research & development to prototype development, culminating in the deployment of our products to customers.
  • Be comfortable and enjoy working in a fast-paced and dynamic multi-disciplinary environment.
  • Have the ability to build and maintain relationships across organizations.
  • Collaborate with others and engage in constructive conflict.
  • Manage interpersonal dynamics and not be afraid to challenge the existing approach to solutions.
  • Strong problem-solving mindset: ability to develop and create solutions to difficult problems often requiring integration of conflicting and, at times, ambiguous or incomplete data on a fast-paced schedule.
  • Bachelor’s or Master’s Degree in Software Engineering, Computer Science, Machine Learning, or a related STEM degree
  • Some experience with AI/ML: disciplines, domain programming languages (e.g. Python, C++, Linux), models, frameworks, and toolsets
    Active security clearance and willing to work onsite with our team in Manassas, VA in our advanced development lab
  • DevOps experience including CI/CD pipelines to build, test, and deploy
  • Experience with C/C++, CUDA, NVIDIA libraries, cloud, containers & modern AI tools, or have implemented AI inferencing streaming (e.g. Triton, kserve, etc.)
  • Experience with production ML and High-Performance Compute Development Experience
  • Strong problem-solving mindset: the ability to develop and create solutions to difficult problems often requiring integration of conflicting and, at times, ambiguous or incomplete data on a fast-paced schedule
  • Demonstrated ability to effectively communicate complex design information, technical decisions, and issues to both highly technical and non-technical peers
  • Ability to build and maintain relationships across organizations, collaborate with others, engage in constructive conflict, and manage interpersonal dynamics – not afraid to challenge the existing approach to solutions

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