Multimodal Data Analytics Engineer

Are you curious how the cyber-physical data produced by humans and devices reveal hidden stories about their activity?

Are you excited by the challenge of turning massive, messy, and highly disparate real-world data into actionable insights?

Are you searching for meaningful work where your tools and ideas have a direct impact on national security?

If so, we're looking for someone like you to join our team at APL.

The Cyber-Physical Systems Development Group (QNN) at APL is seeking a Multimodal Data Analytics Engineer to develop and deploy novel data analytic capabilities to our sponsors in support of this mission. QNN is a multi-disciplinary team of scientists and engineers seeking to empower U.S. defense and intelligence operators with unmatched access and situational awareness in any operational environment. We develop, analyze, and evaluate systems that employ a range of analytical techniques, including as machine learnin...