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See allAbout the Role:
- Remote opportunity to advance autonomous systems for motion understanding and localization when GPS is unavailable.
- Work at the intersection of deep learning, 3D computer vision, and geometric estimation.
Key Responsibilities:
- Develop deep learning models for feature matching, depth estimation, pose estimation, and image-to-map localization.
- Own data strategy, annotation, and evaluation pipelines for production-ready capabilities.
- Integrate learned measurements with visual-inertial odometry and terrain-relative navigation.
Requirements:
- Master's degree plus 4 years or PhD plus 2 years in a related technical field.
- Hands-on PyTorch experience and strong foundations in camera models and multi-view geometry.
- Experience with vision-based navigation, SLAM, or 3D reconstruction.
Benefits:
- Annual salary $200,000–$300,000 with performance bonus and equity.
- Remote work within the US and comprehensive benefits package.
Partner Company
This company builds autonomous systems that can understand motion and localize themselves when GPS is unavailable. Its engineering team works remotely, collaborating across deep learning, computer vision, and state estimation.