Remote Audio Signal Processing Machine Learning Jobs

Job 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.
Key Responsibilities:
• Develop and Apply AI Technologies
• 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
Technical Leadership and Mentorship:
• 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.
• Collaboration and Communication:
• 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.
Technical Skills:
• 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++.
Soft Skills:
• 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
• Education and Experience:
• Bachelor's degree in a relevant field, such as computer science, electrical engineering, or mathematics.
• 8+ years of experience in AI or a related field.
What We Offer:
• Opportunity to Work on High-Impact Projects:
• Work on a broad range of projects across the LAIC, from low TRL research to deployment.
• Develop and apply AI technologies to solve complex problems and field innovative solutions.
• Collaborative and Dynamic Work Environment:
• Work collaboratively with cross-functional teams to develop and deploy AI solutions.
• Participate in a fast-paced and dynamic work environment with a focus on innovation and experimentation.
• Professional Development and Growth Opportunities:
• Opportunities for professional growth and development in AI and related fields.
• Mentorship and guidance from experienced engineers and leaders.
The preferred work locations for this position are Lockheed Martin facilities in Fort Worth, TX, or Palmdale, CA. Remote work arrangements may also be considered for qualified candidates.
#LMLAIC

Qualifications:

• 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 (NumPy, OpenCV, Scikit, Pandas, SciPy, etc.)
• Experience with machine learning and deep learning for signal processing applications such as radar, communication, electronic warfare, sonar, audio, or biomedical
• Broad experience in the application and state of AI across multiple lines of business and customer programs in a large enterprise or government position