Staff ML Engineer - Traffic Sign Detection for Autonomy

XPENG; Santa Clara (CA); On-site; USD 215,280 - 364,320; Full time

Benefits offered by this job

Snacks, lunches, dinners, and fun activities

Job summary

XPENG is seeking a Machine Learning Engineer to enhance Traffic Sign Recognition for autonomous driving systems. This role involves the full lifecycle of model development, from data preparation to deployment.

Candidates should bring strong experience in computer vision and object detection, with the ability to optimize models for production environments. The compensation package is competitive, and the work has real-world impact on vehicle safety.

Qualifications

• 3-5 years of experience with computer vision models.
• Strong hands-on experience in object detection.
• Proficiency in Python and deep learning frameworks.

Responsibilities

• Develop and improve 2D traffic sign detection models.
• Analyze scenarios and failure cases.
• Prepare training and evaluation datasets.

Skills

Computer vision

Deep learning

Data analysis

Object detection

Education

Master’s or PhD in Computer Science or related field

Tools

PyTorch

TensorFlow

Job description

XPENG is seeking a Machine Learning Engineer to enhance Traffic Sign Recognition for autonomous driving systems. This role involves the full lifecycle of model development, from data preparation to deployment.

Candidates should bring strong experience in computer vision and object detection, with the ability to optimize models for production environments. The compensation package is competitive, and the work has real-world impact on vehicle safety.