Description:

Architect 3D object detection models using multi-modal approaches (camera, LiDAR, Radar).
Build and maintain data collection and evaluation pipeline.
Develop a proprietary multi-modal dataset for training and evaluation.
Train, deploy, and monitor 2D/3D object detection models in production.
Build and execute a roadmap for the perception system.
Mentor junior engineers on best practices.

Requirements:

Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field.
7+ years of experience in architecting and deploying 2D/3D object detection models.
Experience with the entire perception stack (sensing, preprocessing, detection & tracking).
Proficiency in Python.
Ability to identify gaps and lead cross-functional projects.

Opportunity to work with top-tier venture capital-backed company in aviation and autonomous driving.
Engage with some of the world’s largest airlines and ground handling providers.