Innovasea

Computer Vision Engineer

• Lead the design, development, evaluation, and deployment of computer vision algorithms that power real-time perception and analytics in challenging underwater environments.
• Design and implement computer vision and deep learning algorithms for underwater applications (detection, tracking, segmentation, pose/key points, 3D reconstruction)
• Develop robust underwater image enhancement and domain adaptation approaches (color correction, dehazing, low-light, turbidity robustness)
• Create scalable training and evaluation pipelines: dataset curation, labeling workflows, augmentation, model training
• Define and track algorithm KPIs (accuracy, precision/recall, tracking stability, 3D error, latency, throughput) and run ablation studies to drive continuous improvement
• Optimize models for real-time deployment on edge hardware (Jetson / GPU): quantization, pruning, TensorRT , batching, pipeline profiling
• Collaborate with software/hardware teams to integrate models into production systems (APIs, streaming pipelines, monitoring, versioning, rollback strategies)
• Work with marine biology and ocean engineering stakeholders to ensure outputs support fish well-being, operational excellence, and scientific validity
• Travel domestically/internationally for R&D site work, system validation, and customer visits