Note: The job is a remote job and is open to candidates in USA. AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. The role involves architecting and deploying 3D object detection models and mentoring junior engineers in best practices.
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
- Build and execute a roadmap for the perception system
- Mentor junior engineers about best practices
Skills
- Master's or PhD in Computer Science, Robotics, Deep Learning, or a related field
- 7+ years of focused experience in architecting and deploying 2D/3D object detection models
- Worked on entire perception stack (sensing, preprocessing, detection & tracking)
- Python proficiency
- The ability to identify gaps and lead cross functional projects
- PhD in Computer Science, Robotics, or a related discipline
- Full stack AV knowledge
- Experience in architecting perception systems (detection & tracking)
- Publications in major conferences like CVPR, ICRA, NeurIPS, IJCAI, AAAI etc
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