A/AI Machine Learning Engineer Staff

Lockheed Martin Corporation•Fort Worth, TX

63d•$128,200 - $255,530•Hybrid

About The Position

Are you ready to join a team of innovators and play a critical role in shaping the future of Artificial Intelligence? We're 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'll have the opportunity to work on high-impact projects, develop and apply cutting-edge AI technologies, and collaborate with cross-functional teams to drive innovation and experimentation. What's In It For You: From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin's comprehensive benefits package here. Do 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 the resources and give you the flexibility to enable inspiration and focus - if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you. Who are you: You are a highly motivated and experienced Artificial Intelligence Engineer with:

Requirements

A strong background in software engineering, artificial intelligence, and machine learning.
A 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.
A Bachelor's degree in a relevant field, such as computer science, electrical engineering, or mathematics.
5+ years of experience in AI or a related field.
Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Experience in languages: C++ or Python
Experience in ML frameworks & libraries: JAX (preferred), or PyTorch, or TensorFlow
Experience in Reinforcement Learning

Nice To Haves

Software Architecture:
Experience interfacing with gov-supplied sim & networks
Comfortable working in simulation & gym environments •Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]
Knowledge of MLOps pipeline and modern machine learning techniques

Responsibilities

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.
Work collaboratively with cross-functional teams to develop and deploy AI solutions.
Communicate complex technical concepts and solutions to non-technical stakeholders.