Job Description

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 www.aerovect.com

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.

• Experiment SOTA models’ performance.

• Mentor junior engineers about best practices.

You have

• 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

• The ability to lead projects autonomously

We Prefer

• PhD in Computer Science, Robotics, or a related discipline.

• Publications in major conferences like CVPR, ICRA, NeurIPS, IJCAI, AAAI etc