A​/AI Machine Learning Engineer ; Electronic Warfare

Description

We are seeking a highly motivated and experienced Artificial Intelligence Engineer to join our Lockheed Martin Artificial Intelligence Center (LAIC) team. As a key member of our Applied AI team, you will play a critical role in developing technologies and products that leverage Artificial Intelligence to provide discriminating signal processing capabilities to our customers. You will work on a broad range of projects across the LAIC, from low Technical Readiness Level research to deployment and will be responsible for leading critical technical projects.

• Develop and apply current AI paradigms, including computer vision, deep learning, and reinforcement learning, to solve complex signal processing problems and field innovative solutions.
• Engage in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and flight test.
• Take ownership of critical tasks and lead technical teams to deliver high-quality solutions.
• Participate in the development of proposals and whitepapers to secure funding for AI research and development projects.
• Assume technical lead responsibilities and mentor junior engineers to help them develop their skills and expertise.
• Provide guidance and support to team members to ensure successful project execution.
• Work collaboratively with cross-functional teams to develop and deploy AI solutions.
• Communicate complex technical concepts and solutions to non-technical stakeholders.
• Engage with other Lockheed Martin teams to identify opportunities for AI adoption and application.

• Strong background in software engineering, artificial intelligence, and machine learning.
• Strong background in signal processing theory and application (radar, communication, electronic warfare, sonar, audio, or biomedical).
• Experience with current AI paradigms, including computer vision, deep learning, and reinforcement learning.
• Proficiency in programming languages such as Python, Java, or C++.

• Self-motivation, strong work ethic, and time management skills.
• Excellent interpersonal and communication skills.
• Engage with other Lockheed Martin teams to identify opportunities for AI adoption and application.
• 5+ years of experience in AI or a related field.

Opportunity to work on high-impact projects across the LAIC, from low TRL research to deployment. Professional development and growth opportunities in AI and related fields. Mentorship and guidance from experienced engineers and leaders.

From onsite to remote, we offer flexible work schedules and comprehensive benefits investing in your future and security. If 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 resources and flexibility to enable inspiration and focus.

The preferred work locations for this position are Lockheed Martin facilities in Moorestown, NJ, Valley Forge, PA, Denver, CO, Fort Worth, TX, Syracuse, NY, Owego, NY, Palmdale, CA, Orlando, FL. Remote work arrangements may also be considered for qualified candidates.

• Bachelor’s Degree in Engineering, Computer Science, or other related discipline.
• Experience developing with machine learning frameworks (Pytorch, Tensorflow, JAX, Keras, etc.).
• Experience with Python and multiple libraries (Num Py, OpenCV, Scikit, Pandas, Sci Py, etc.).
• Experience with machine learning and deep learning for signal processing applications such as radar, communication, electronic warfare, sonar, audio, or biomedical.

• Master’s Degree in Engineering, Computer Science, or other related discipline with a specialization in Artificial Intelligence.
• Experience applying AI/ML to mature, complex software systems.
• Experience with RF signal processing.
• Experience with analog and digital signal processing.
• Experience working on radar, communication, electronic warfare, sonar systems.
• Experience with multiple sensing modalities including full motion video in EO and IR, passive and active radio frequency, Synthetic Aperture Radar (SAR), and state of…