导航交通算法工程师（J104981）
Core
Develop and optimize core navigation algorithms including ETA, traffic light countdowns, and timing schemes; design traffic flow prediction and congestion detection algorithms; mine real-time location data for AI navigation and dynamic events.
Role type
Machine learning engineer (navigation/traffic)
Builds
Navigation algorithms, traffic prediction models, dynamic event detection systems
Domain
Transportation + Machine Learning
Deliverable
production ML models
Required skills
Python, C++, Linux/Shell, data mining, machine learning, deep learning, traffic prediction models, spatiotemporal data processing
Preferred skills
Large language model (LLM) knowledge, VLM (vision-language model) multi-modal experience, large-scale road network data modeling
Technologies
Python, C++, Linux, Shell
Responsibilities
Develop ETA and traffic light algorithms; design traffic flow prediction models; mine location data for AI navigation; explore ML/DL applications in smart navigation
Seniority
Mid-level, hands-on IC
