Standard Job Description Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces

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

• Researching state-of-the-art machine learning applications as they apply to fielded radar tracking systems
• Developing new capabilities to enhance tracking systems, from design, integration and test, to fielding
• 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

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. 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: $110300.00 - $204900.00

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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…