When it comes to using cutting-edge machine learning to tackle complex problems, Lockheed Martin is driven by a singular mission focus and desire to continuously innovate. Today’s challenges to global security aren’t just changing – they’re accelerating faster than ever before. Through our dedication to our mission, our AI-enabled systems are changing the way militaries operate and protect their forces, the way first responders fight fires, and how researchers explore the far reaches of space and the ocean’s depths.
The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a high energy leader with hands-on experience in software engineering and AI/ML to lead and grow the AI Consulting portfolio for the business. In this role you will be part of the AI Foundations team consisting of colleagues possessing varying skill sets including AI/Machine Learning specialists, front-end and back-end developers, data engineers, product managers, and other data scientists. The selected candidate will focus on the AI Consulting team but will be included as part of a broader range of projects across the LAIC portfolio. 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.
The LAIC AI Consulting Team’s mission includes serving as a center of excellence for AI at Lockheed Martin. The candidate will work to disseminate best practices of the AI Consulting Team to other AI and data science teams in the corporation. The candidate will be required to create knowledge materials to publish these best practices, as well as meet with other data science leaders in Lockheed Martin to teach and discuss these practices.
The responsibilities of this position include collaboration with business stakeholders to identify business opportunities and requirements to develop associated statistical models that deliver useful, actionable recommendations, or which augment human capabilities in various work settings. The candidate is responsible for modeling complex business and engineering problems, discovering insights and deploying AI capabilities using machine learning and associated feature engineering techniques. Responsibilities also include tracking projects and driving work on them through to completion, as well as implementing best technical practices from the fields of machine learning and software engineering.
The candidate will need a combination of business focus, creative thinking, strong analytical and problem solving skills, and programming knowledge to be able to quickly cycle hypotheses through the discovery phase of the project. Excellent communications skills to understand the needs of the business, and to communicate the value of the models built back to the business.
Domestic travel may be required when travel resumes (approx. 10%).