AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations.
Requirements
- 5+ years of focused experience in architecting and deploying 2D/3D object detection models.
- Worked on entire perception stack (sensing, preprocessing, detection & tracking)
- Python proficiency
Responsibilities
- Architect 3D object detection models, including multi-modal approaches (camera, LiDAR, Radar).
- Build and maintain data collection and evaluation (metrics) pipeline.
- Develop a proprietary multi-modal dataset for training and evaluation.
- Train, deploy and monitor 2D/3D object detection models to production.
- Experiment SOTA models’ performance.
- Mentor junior engineers about best practices.
Other
- Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field.
- The ability to lead projects autonomously
- PhD in Computer Science, Robotics, or a related discipline.
- Publications in major conferences like CVPR, ICRA, NeurIPS, IJCAI, AAAI etc
