AI​/ML Remote Sensing Scientist

The Aerospace Corporation is the trusted partner to the nation’s space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space— delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you’ll be part of a special collection of problem solvers, thought leaders, and innovators.

Join us and take your place in space. At the Mission Payloads Division (MPD), we are pioneers in remote sensing systems that guide our country’s space enterprise. Our talented and dynamic people create and flourish in electronics, sensors, radar, artificial intelligence (AI), and advanced data network domains. We boldly advance technology through our research and development and then forward to demonstration and integration.

With innovative laboratories and prototyping, MPD delivers groundbreaking results. We guide our Department of Defense, intelligence community, and civil clients to enhance national productivity and security and tackle the most critical missions. Bring your intelligence and creative spirit and join us at MPD!

The Sensor Modeling and Simulation Department (SMSD) supports all aspects of advanced remote sensing system development: designing and assessing the performance of optics and electro-optical focal plane arrays, modeling the end-to-end sensing system, simulating target scenes and atmospheres, developing innovative data processing and computer vision algorithms, and producing simulated data products for new applications. The department’s Machine Intelligence Exploitation section specializes in applying Artificial Intelligence/Machine Learning (AI/ML) to extract information from and enhance the value of our customers’ data.

Applications include data fusion/integration, computer vision, pattern recognition and anomaly detection on large, varied datasets for automation, discovery, and predictive modeling.

Work Model:
The selected candidate will be required to work full time on-site at our facility at Chantilly, VA

• Develop innovative and sophisticated AI/ML applications for information extraction including computer vision, data fusion, pattern recognition, and anomaly detection in support of automation and predictive modeling
• Explore the art of the possible and prototype AI/ML-based solutions for the government across multiple domains
• Review and characterized the performa of contractor supplied AI/ML solutions to support program acquisition activities
• Inform the government on an effective path forward in the application of AI/ML to their mission
• Support a portfolio of high-impact projects, engaging with other experts across multiple disciplines to explore innovative enterprise solutions to critical national missions

Minimum Requirements:

• Master’s degree from an accredited program in the physical sciences, engineering, computer science or related technical discipline.
• Eight or more years of experience post bachelor’s degree working with AI/ML frameworks such as Py Torch
• Experienced using Python to implement AI/ML and data science solutions.
• Strong desire to grow your knowledge and expertise in the application of AI/ML to data fusion, computer vision, pattern recognition, anomaly detection and predictive modeling
• Desire to learn signal and/or image processing and the underlying physical phenomenologies
• This position requires ability to obtain and maintain a Top Secret/SCI access clearance, which is issued by the U.S. government.
• U.S. citizenship is required to obtain a security clearance

In addition to the above, the minimum requirements for Sr. Engineering Specialist:

• Twelve years of experience after bachelor’s degree
• Background in signal processing, image science, spectral analysis, spatial analysis and/or computer vision
• Demonstrated expertise in Deep Learning, Graph Applications, Natural Language Processing, and/or large databases

• Advanced degree from an accredited…