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A​/AI Machine Learning Engineering Sr - E3

Job in Moorestown, Burlington County, New Jersey, 08057, USA
Listing for: Lockheed Martin
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 110300 - 204900 USD Yearly USD 110300.00 204900.00 YEAR
Job Description & How to Apply Below

Standard 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.

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

#LMLAIC

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. Num Py, 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 Dev Ops tools:
    Docker, Git [Git Lab, Git Hub], 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: $110300.00 - $204900.00

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.
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