AeroVect is looking to solve the problem of transforming ground handling with autonomy, redefining how airlines and ground service providers run day-to-day operations
Requirements
Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field
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
5+ years of focused experience in architecting and deploying 2D/3D object detection models
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
