A​/AI Machine Learning Engineering - E2 Security Clearance

Position: A/AI Machine Learning Engineering - E2 with Security Clearance
Job Number 7664 Standard

Job Description Join the Lockheed Martin Artificial Intelligence Center (LAIC) Mission Operations Center team and be part of a dynamic group thats 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, youll 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, youll be instrumental in developing and maintaining cutting-edge AI capabilities that are making a real impact across the Lockheed Martin enterprise. What youll 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
• Bachelors 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: $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, candidates 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.