AI Machine Learning Engineer (junior career, on-site, Moorestown NJ)

Lockheed Martin•Moorestown, NJ

36d•$89,300 - $157,435•Onsite

About The Position

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. What you'll be doing: • 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 What's In It For You: 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. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? 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. Who are you: You are a highly motivated and organized individual with a strong working knowledge in radar systems engineering, signal processing, data science, artificial intelligence, and machine learning. You possess: • 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 #LMLAIC

Requirements

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

Nice To Haves

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

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