Multimodal Data Analytics Engineer

Description

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 learning and artificial intelligence (AI/ML), to extract insight from disparate data sets such as commercial telemetry data, video content, and computer network traffic.

• Conceive, design, and refine analytical approaches that transform complex, multimodal data into meaningful insights.
• Build robust, mission-focused software tools that operationalize these analytical techniques for research, demonstration, and operational applications.
• Mentor and develop junior staff, providing guidance in both technical execution and professional growth.
• Identify emerging mission needs and propose innovative capabilities and concepts to sponsors.
• Clearly document methods and results, and effectively present findings to stakeholders within the lab and across the broader technical community.

You meet our minimum qualifications for the job if you...

• Possess a Bachelor's Degree in Computer Science, Data Science/Engineering, Computer Engineering, Artificial Intelligence/Machine Learning, or another field relevant to the duties as described above.
• Have at least 7 years of relevant experience in analytical tool development using a variety of techniques including AI/ML methods.
• Have demonstrated ability to develop high-quality software solutions that are accurate, efficient, reliable, maintainable, and scalable.
• Possess strong knowledge of data engineering fundamentals, including data ingestion, cleaning, transformation, storage, fusion, and visualization.
• Have experience with professional software development practices, including version control, testing, code review, and modular design.
• Have strong technical writing, presentation, and communication skills for reports, proposals, technical presentations, and interaction with sponsors.
• Are able to obtain an Interim Top Secret level security clearance by your start date and can ultimately obtain a TS/SCI level clearance. If selected, you will be subject to a government