AI Perception Engineer (3D Object Detection)
Italy
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Stockholm
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DublinJob Description
Key Skills Required
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You will:
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:
A 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.
We Prefer:
A PhD in Computer Science, Robotics, or a related discipline.
Full-stack AV (Autonomous Vehicles) knowledge.
Experience in architecting perception systems (detection & tracking).
Publications in major conferences like CVPR, ICRA, NeurIPS, IJCAI, AAAI, etc.
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AeroVect
View Company ProfileAeroVect is a pioneering aviation technology company that is fundamentally revolutionizing airport logistics through advanced autonomous mobility. Headquartered in San Francisco, California, the company specializes in transforming traditional ground support equipment (GSE)—such as baggage tractors and cargo loaders—into fully autonomous, self-driving fleets. Under the hood, AeroVect leverages state-of-the-art artificial intelligence, computer vision, and high-precision LiDAR technology to navigate the highly complex, bustling, and unpredictable environments of modern airport tarmacs safely. Their primary target audience spans massive global airlines, airport authorities, and ground handling enterprises that are desperately seeking to overcome severe labor shortages, enhance operational safety, and dramatically increase turnaround efficiency. What sets AeroVect apart in the rapidly evolving autonomous vehicle sector is its hyper-focused, domain-specific application—ignoring public roads to perfectly master the highly controlled but demanding domain of aviation logistics, thereby delivering immediate, quantifiable ROI to the aerospace supply chain.
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