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 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 professional 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 security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

• A Master’s or a PhD in a relevant technical field.
• Experience processing relevant data types such as: video, imagery, audio, mobility data, network data, financial transactions, text records/documents, etc.
• Experience with C, C++, and/or Python and open data analysis packages such as Pandas, Geo Pandas, OpenCV, Scapy, Zeek, Tensor Flow, Lang Chain, etc.
• Experience with a variety of data storage and retrieval methods such as SQL, No
  
  SQL, object storage, knowledge graphs, Parquet, etc.
• Experience with containerization tools (e.g., Docker, Kubernetes).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and cloud/distributed software architectures.

The Johns Hopkins University Applied Physics Laboratory (APL) brings world‑class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your…