Posted:
12/2/2024, 4:32:14 PM
Location(s):
San Francisco, California, United States ⋅ California, United States
Experience Level(s):
Senior
Field(s):
AI & Machine Learning
Workplace Type:
Remote
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.
Deploy 3D object detection models, including multi-modal approaches (camera, LiDAR, radar).
Build and maintain a robust data collection and evaluation (metrics) pipeline.
Develop a proprietary dataset for model training and evaluation.
Train and evaluate state-of-the-art (SOTA) models.
Bachelor’s or Master’s degree in Computer Science, Robotics, Deep Learning, or a related field.
4+ years of focused experience in deploying 2D/3D object detection models.
Python proficiency.
PhD in Computer Science, Robotics, or a related discipline.
Publications in major conferences like CVPR, ICRA, NeurIPS, IJCAI, AAAI etc
Website: http://aerovect.com/
Headquarter Location: San Francisco, California, United States
Employee Count: 1-10
Year Founded: 2020
IPO Status: Private
Last Funding Type: Seed
Industries: Aerospace ⋅ Air Transportation ⋅ Software