A/AI Machine Learning Engineering - E2

Lockheed Martin; Moorestown Township (NJ); On-site; USD 91,000 - 169,000; Full time

Benefits offered by this job

Medical, Dental, Vision

4x10 work schedule

401(k) match

Paid time off

Job summary

Lockheed Martin is seeking a highly motivated AI/ML professional to join the LAIC Mission Operations Center in Moorestown, NJ. The role focuses on radar systems, signal processing, data science, AI/ML, and rapid deployment of cutting-edge capabilities.

You will monitor fielded AI systems, develop new monitoring capabilities, and collaborate with cross-functional teams to meet mission needs, with US citizenship required and on-site work at major Lockheed Martin facilities.

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.
• Master’s Degree in Engineering, Computer Science, or related discipline (preferred).

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.
• On-site at Moorestown, NJ with occasional off-hours work.

Skills

ML model development

Python programming

Team collaboration

Data science

MLOps concepts

Education

Bachelor's Degree in Engineering or Computer Science

Master’s Degree in Engineering or CS

Tools

Docker

Git (GitLab/GitHub)

CI/CD

Linux

Job description

Join the Lockheed Martin Artificial Intelligence Center (LAIC) Mission Operations Center 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 Moorestown, NJ

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

Basic 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

Pay Information

Full-Time Salary Range: $91200.00 - $169400.00

At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well‑being, and help you grow—both professionally and personally.

The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.

Benefits offered

Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.

• Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
• For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave and holiday hours are prorated based on start date during the calendar year.