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Lockheed Martin Linkedin · Posted 1mo ago

AI Machine Learning Engineer Sr.

Fort Worth, Texas, United States

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Indexed description

Basic Qualifications

Bachelor’s degree in Computer Science,

Computer Engineering, other Engineering or

related discipline from an accredited college, or

equivalent experience, with 5 years of

professional experience or 3 years of

professional experience with a related master’s

degree.

Strong expertise in Python and modern C++ programming.

Experience in system software engineering, deploying AI-first systems, AI/ML development and data curation and data pipelines, building and deploying software for mission systems, mission management and/or battle management in DoD domain

Job Description

When it comes to cutting edge machine learning to tackle complex problems, Lockheed Martin is driven by a singular mission focus and desire to c ontinuously innovate. Today’s challenges to global security aren’t just changing – They’re accelerating faster than ever before. Through our dedication to our mission, our AI-enabled systems are changing the way militaries operate and protect their forces, the way first responders fight fires, and how researchers explore the far reaches of space and the ocean’s depths.

The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking an individual with a strong working knowledge in Large Language Models or Reinforcement Learning, software engineering and Python to support the Applied AI Mission Management team and product portfolio focusing on Cogniverse Mission Management.

The team is focused on developing small, innovative teams to rapidly iterate and mature solutions from prototypes to production for utilization across the enterprise and the field for our customers.

The selected candidate will focus on the development of advanced AI agents and tooling supporting the Cogniverse simulation product. This will require engagement in every phase of the software/system development lifecycle including requirements generation, system and software

design, implementation, testing and integration. Activities will range from low TRL research, proof of concepts, rapid prototyping and transition to production. The selected candidate can expect to have exposure to the latest AI paradigms in generative AI and reinforcement learning (RL) to create high fidelity training and simulation

environments for a wide range of applications.

Candidates should exhibit self-motivation, a strong work ethic, communication, time management and interpersonal skills.

Must be located near an LM location.

US Citizenship is required due to need for clearance eligibility.

#LMLAIC

Desired Skills

  • Master’s Degree in Engineering, Computer Science, or other related discipline
  • Experience with defense industry operations analysis, multi-domain simulation, or related systems of systems analyses
  • Experience with multiple SW architectures, including monolithic, SOA, and microservices
  • Experience transitioning prototype technologies to production
  • Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD].
  • Experience with HW acceleration (GPUs, NPUs, etc)
  • Experience with high-performance computing
  • Experience developing applications on Linux
  • Exhibit self-motivation, time management and interpersonal skills
  • Active Secret Clearance

Other Important Information

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to work remotely

Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.

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