Lockheed Martin Corporation
AI Machine Learning Engineer (early-career, on-site full time)
Lockheed Martin Corporation, Moorestown, New Jersey, United States
Job Description
Join the Lockheed Martin Artificial Intelligence Center (LAIC) team and be part of a dynamic group that’s pushing the boundaries of innovation in radar systems engineering, signal processing, data science, artificial intelligence, and machine learning. As a key member of the Applied AI team, you’ll have the opportunity to work on a wide range of projects that are transforming the way we approach complex challenges. With a focus on rapid iteration and deployment, you’ll be instrumental in developing and maintaining cutting‑edge AI capabilities that are making a real impact across the Lockheed Martin enterprise.
Responsibilities
Monitoring and maintaining fielded AI capabilities to ensure optimal performance.
Developing new capabilities to enhance ML monitoring and continuous update processes for deployed systems.
Analyzing customer data to inform ML model performance assessments and updates.
Collaborating with cross‑functional teams to address evolving operational requirements.
Working on‑site at major Lockheed Martin facilities, including LM Moorestown, Valley Forge, Colorado, and Orlando, with flexible hours available outside of mission requirements.
Benefits & Compensation From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security. Learn more about Lockheed Martin’s comprehensive benefits package here. We provide the resources and give you the flexibility to enable inspiration and focus – if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.
Essential Qualifications
Bachelor’s Degree in Engineering, Computer Science, or related field.
Experience with large dataset management and machine learning.
Proficiency in Python and related libraries (e.g. NumPy, Pandas).
Knowledge of MLOps pipeline and modern machine learning techniques.
Desired Skills
Master’s Degree in Engineering, Computer Science, or other related discipline.
Experience with DevOps tools: Docker, Git (GitLab, GitHub), Continuous Integration (CI), Continuous Deployment (CD).
Familiarity interfacing with databases (SQL, MongoDB, etc.).
Experience with modern Computer Vision.
Experience with C++, Java, GO, and other compiled languages.
Experience developing applications on Linux.
Familiarity with network/messaging (UDP, ZeroMQ, RESTful API, etc.).
Familiarity with high‑performance computing.
Familiarity with radar systems and track processing.
EEO Statement Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
Application Window The application window will close in 90 days; applicants are encouraged to apply within 5–30 days of the requisition posting date in order to receive optimal consideration.
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Responsibilities
Monitoring and maintaining fielded AI capabilities to ensure optimal performance.
Developing new capabilities to enhance ML monitoring and continuous update processes for deployed systems.
Analyzing customer data to inform ML model performance assessments and updates.
Collaborating with cross‑functional teams to address evolving operational requirements.
Working on‑site at major Lockheed Martin facilities, including LM Moorestown, Valley Forge, Colorado, and Orlando, with flexible hours available outside of mission requirements.
Benefits & Compensation From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security. Learn more about Lockheed Martin’s comprehensive benefits package here. We provide the resources and give you the flexibility to enable inspiration and focus – if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.
Essential Qualifications
Bachelor’s Degree in Engineering, Computer Science, or related field.
Experience with large dataset management and machine learning.
Proficiency in Python and related libraries (e.g. NumPy, Pandas).
Knowledge of MLOps pipeline and modern machine learning techniques.
Desired Skills
Master’s Degree in Engineering, Computer Science, or other related discipline.
Experience with DevOps tools: Docker, Git (GitLab, GitHub), Continuous Integration (CI), Continuous Deployment (CD).
Familiarity interfacing with databases (SQL, MongoDB, etc.).
Experience with modern Computer Vision.
Experience with C++, Java, GO, and other compiled languages.
Experience developing applications on Linux.
Familiarity with network/messaging (UDP, ZeroMQ, RESTful API, etc.).
Familiarity with high‑performance computing.
Familiarity with radar systems and track processing.
EEO Statement Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
Application Window The application window will close in 90 days; applicants are encouraged to apply within 5–30 days of the requisition posting date in order to receive optimal consideration.
#J-18808-Ljbffr