AI / Machine Learning Research Engineer (early career)

The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a high energy individual with a strong working knowledge in software engineering, artificial intelligence and machine learning to support the Applied AI team and product portfolio, focusing on a broad range of projects across the LAIC. 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 customers. This will require engagement in every phase of the system development lifecycle including requirements generation, system and software design, implementation, integration, and deployment. Activities will focus on low TRL research, proof of concepts, development of prototypes, A/B testing, and translating research into demonstrators with expected support for transition to production, integration, and deployment. The selected candidate can expect to utilize current AI paradigms including computer vision, deep learning, and reinforcement learning; applying these techniques to solve complex problems and field innovative solutions.

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.

Must exhibit self-motivation, a strong work ethic, time management and interpersonal skills.

The candidate will work remotely.

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