Machine Perception Engineer (Vision)

Quartermaster AI is seeking a highly experienced Machine Perception Engineer to lead the development of edge-deployed perception and intelligence systems for maritime environments. The role focuses on enabling vessels to autonomously understand their surroundings through real-time scene analysis, object detection, classification, and tracking.

Responsibilities:

• Lead the design, training, and deployment of computer vision and perception models for tasks such as vessel detection, classification, and tracking
• Architect and optimize inference pipelines for real-time performance on edge devices, including GPU-accelerated and mixed-precision inference
• Implement and refine algorithms for scene understanding, object segmentation, and environmental awareness using both image and sensor fusion data
• Collaborate with hardware and software teams to ensure model compatibility with embedded systems and available compute resources
• Develop techniques for edge-case detection, dataset curation, and self-healing model behavior in dynamic, non-ideal environments
• Apply active learning, domain adaptation, and synthetic data strategies to improve model robustness and generalization
• Work closely with RF and sensor teams to integrate complementary signal data into multimodal classification and detection pipelines
• Own model evaluation processes and benchmarking across hardware platforms and field conditions
• Maintain best practices for model versioning, traceability, and validation in safety-critical applications