3D Computer Vision Research Engineer

What you'll do

• Prototype and develop algorithms for extracting map features from real-world imagery and sensor data.
• Build models and systems for visual understanding and scene-level reasoning in large-scale datasets.
• Evaluate the effectiveness of computer vision and machine learning methods in practical mapping scenarios.
• Detect, classify, and validate map-relevant features using multimodal data sources like aerial and ground imagery.
• Combine machine learning techniques with 3D geometry to solve complex spatial intelligence problems.
• Tackle open-ended technical challenges with strong engineering judgment and a pragmatic approach.

What we're looking for

• Strong background in computer vision and machine learning with relevant experience
• Hands-on experience in visual understanding, object detection, segmentation, feature extraction, and scene understanding
• Solid programming skills in C/C++ and Python
• Familiarity with 3D geometry, spatial reasoning, and large-scale geospatial data
• Experience building ML systems for large-scale real-world visual data
• Master’s degree or PhD in Computer Vision, Machine Learning, AI, Computer Science, Electrical Engineering, or related field
• Publications in top-tier CV/ML conferences like CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH