AI Machine Learning Engineer (early-career, on-site full time) jobs in United States
cer-icon
Apply on Employer Site
company-logo

Lockheed Martin · 1 month ago

AI Machine Learning Engineer (early-career, on-site full time)

Lockheed Martin is a leading technology innovation company, and they are seeking an AI Machine Learning Engineer to join their Artificial Intelligence Center team. The role involves monitoring and maintaining AI capabilities, developing new capabilities for machine learning, and collaborating with cross-functional teams to meet operational requirements.

AerospaceCyber SecurityMachinery ManufacturingMilitaryNational SecurityRemote SensingSecurity
check
Growth Opportunities
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

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

Qualification

Machine LearningPythonMLOps pipelineLarge dataset managementSignal processingRadar systems engineeringProactive approachInterpersonal skillsTime managementTeam collaborationSelf-motivation

Required

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
A strong foundation in technical skills, including ML model development and deployment
Excellent interpersonal and communication skills, with the ability to work effectively in a team environment
A self-motivated and proactive approach to work, with a strong work ethic and time management skills
The ability to work on-site at major Lockheed Martin facilities, with occasional off-hours work required to meet mission needs
US citizenship is required for this role

Preferred

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

Benefits

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

Company

Lockheed Martin

company-logo
Lockheed Martin is a global security and aerospace company that specializes in advanced technology systems, products, and services. It is a sub-organization of Lockheed Martin.

Funding

Current Stage
Public Company
Total Funding
$6.06B
Key Investors
Air Force Research Laboratory
2025-12-05Post Ipo Debt· $3B
2025-08-28Post Ipo Debt· $3B
2023-11-13Grant· $33.7M

Leadership Team

leader-logo
Jim Taiclet
Chairman, President & CEO
linkedin
leader-logo
Craig Martell
Chief Technology Officer
linkedin
Company data provided by crunchbase