AI​/Machine Learning Engineer

Job Title: AI / Machine Learning Engineer Job Description

This AI / Machine Learning Engineer role focuses on designing, developing, and deploying advanced machine learning and deep learning solutions for EO/IR imagery and sensor exploitation. You will build production-grade computer vision pipelines, support real-time and embedded deployments, and collaborate closely with cross-functional engineering teams to transition cutting-edge prototypes into operational applications.

• Design and implement machine learning and deep learning algorithms for EO/IR imagery and sensor exploitation.
• Develop AI solutions for object detection, classification, tracking, segmentation, anomaly detection, and pattern recognition.
• Build and optimize computer vision pipelines for real-time or near-real-time image and sensor data processing.
• Create and maintain data ingestion, labeling, and feature engineering workflows to support robust model training.
• Support deployment of AI/ML algorithms onto embedded, edge, and space-qualified computing environments.
• Collaborate with systems engineers to derive AI requirements and validate algorithm performance against mission needs.
• Work with software engineers to transition AI/ML prototypes into reliable, production-grade operational applications.
• Evaluate model performance using mission-relevant metrics and datasets, including accuracy, precision, recall, false positive rate, false negative rate, and F1 score.
• Explain performance tradeoffs between precision, recall, and overall model accuracy in the context of mission requirements and operational constraints.
• Apply optimization techniques and analyze the impact of different optimizers such as SGD and RMSProp on model convergence and performance.
• Train and evaluate models using large-scale image or sensor datasets, ensuring scalability and reliability.
• Develop automated testing, validation, and model monitoring capabilities to ensure ongoing model quality and stability.
• Support customer demonstrations, technical reviews, and program milestones with clear technical communication and results.
• Contribute to research and development initiatives involving advanced sensing technologies and autonomous systems.
• Develop software solutions within Linux environments, integrating AI/ML components into broader system architectures.
• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Aerospace Engineering, Applied Mathematics, Physics, or a related technical field.
• 8+ years of professional software engineering experience developing production-grade applications.
• 5+ years of hands‑on experience designing, training, validating, and deploying machine learning and/or computer vision models.
• Demonstrated experience supporting imagery analysis, image exploitation, image processing, object detection, classification, segmentation, or pattern recognition applications.
• Professional experience working with deep learning architectures, including Convolutional Neural Networks (CNNs), object detection frameworks, and end-to-end computer vision pipelines.
• Strong Python development experience and proficiency with common AI/ML development libraries.
• Strong understanding of machine learning model evaluation metrics, including accuracy, precision, recall, false positive rate, false negative rate, and F1 score.
• Ability to clearly explain performance tradeoffs between precision, recall, and overall model accuracy based on mission requirements and operational constraints.
• Solid mathematical foundation in probability, statistics, linear algebra, optimization, and model performance analysis.
• Demonstrated understanding of optimization techniques and ability to explain the impact of different optimizers such as SGD and…