Job Summary

As a Senior Computer Vision Engineer (EO, SAR, etc.), you will design, benchmark, and deploy deep learning vision models that detect small maritime targets, segment vessel wakes to estimate speed and heading, classify vessel types, and correlate visual satellite detections against broadcast RF/AIS data to instantly expose "dark" ships.

Responsibilities

- Small-Target Ship Detection: Develop high-precision object detection models (oriented bounding boxes, rotated YOLO, Faster R-CNN, Vision Transformers) specifically optimized for tiny, low-pixel vessel signatures across large ocean swaths.

- SAR Feature Extraction Speckle Handling: Design neural architectures capable of handling complex SAR speckle noise, varying sea-state clutter, polarization channels (VV, VH, HH, HV), and incident angles to identify metallic radar cross-sections (RCS).

- Wake Detection Kinematics Estimation:



Implement segmentation models to isolate Kelvin ship wakes and turbulent water trails, extracting vessel heading, velocity, and length directly from imagery.

- Fine-Grained Classification: Build multi-class classifiers to categorize detected hulls into merchant vessels, container ships, tankers, tugs, naval assets, and artisanal/industrial fishing craft.

- Multi-Sensor Cross-Modal Fusion: Work with data engineering teams to coregister and fuse optical EO, SAR, and RF geolocations with spatio-temporal AIS tracks.

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📌 Senior Computer Vision Engineer (Bengaluru)
🏢 Hyspace Technologies
📍 Bengaluru