17 ago - Italia
AeroVect
Who We Are AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit We Are AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit will
Possiede le competenze, l'esperienza e la determinazione necessarie per avere successo in questo ruolo? Lo scopra qui sotto.
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- 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.
You have
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- Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field. xysqume
- 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
We Prefer
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- 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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