AI Machine Learning Engineer Staff - Remote Eligible

AI Machine Learning Engineer Staff

Lockheed Martin is a global leader in aerospace, defense, and technology solutions, dedicated to pushing the boundaries of innovation and shaping the future of the industry. With a rich legacy of excellence and a commitment to delivering advanced capabilities to our customers, we are proud to be at the forefront of cutting-edge technology and engineering.

The AI team at Lockheed Martin is seeking a high energy professional with a strong background in software engineering, artificial intelligence, and machine learning to support the AI team and product portfolio, focusing on a broad range of projects across the corporation. The team is focused on exploiting small, innovative and agile teams to rapidly iterate and mature solutions from prototypes to deployment for utilization across the Lockheed Martin enterprise and in the field for our customers. The selected candidate will focus on the development of technologies and products that leverage Artificial Intelligence to provide discriminating capability to our internal teams, organizations, business areas, and overall customers. This will require engagement in every phase of the system development lifecycle including requirements generation, system and software design, development, implementation, integration, and deployment. Activities will range from low TRL research, proof of concepts, development of prototypes, building demonstrators, and transition to production. The selected candidate can expect to utilize current AI paradigms including computer vision, deep learning, and reinforcement learning. These techniques would be applied to solve complex problems and field innovative solutions. The selected candidate will also be expected to assume technical lead responsibilities, take ownership of critical tasks and mentor junior engineers. Must exhibit self-motivation, a strong work ethic, time management and interpersonal skills. The selected candidate can work at any major Lockheed Martin facility or remotely.

You are a dynamic and results-oriented professional with a passion for driving operational excellence and optimizing production processes. You thrive in a fast-paced environment and are adept at managing complex projects while maintaining a high level of accuracy and attention to detail. Your strong analytical skills, coupled with your ability to communicate effectively and collaborate across departments, make you an invaluable asset to our team.

Opportunity for Impact: Join a team that is at the forefront of innovation in the aerospace and defense industry and make a significant impact on the success of our organization. Professional Development: Take advantage of unparalleled opportunities for growth and advancement within Lockheed Martin, with access to world-class training and development programs. Collaborative Culture: Work alongside some of the brightest minds in the industry who share your passion for excellence and who are committed to supporting each other's success. Competitive Benefits: Enjoy a comprehensive benefits package, including health insurance, retirement plans, and paid time off, as well as competitive salary offerings. Cutting-Edge Technology: Be part of a dynamic and forward-thinking work environment where you will have the opportunity to work with the latest technology and contribute to groundbreaking projects that are shaping the future of aerospace and defense.

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] Experience working cross-functionally with product/platform teams Experience with application of current research in the AI/ML domain Problem-solving mindset with attention to real-world deployment challenges Self-motivated with ability to work independently and collaboratively The ability to thrive in a fast-paced environment in an industry that constantly changes Strong oral and written communication skills, and ability to collaborate with cross-functional partners Strong presentation skills to present to teams, stakeholders, leadership, and customers. Experience of collaborating with virtual teams