导航交通算法工程师（J106768）
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 traffic 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, Intelligent Transportation Systems (ITS), Machine Learning
Deliverable
production ML models
Required skills
Python, C++, data mining, machine learning, deep learning, traffic prediction models, spatio-temporal data processing
Preferred skills
Large language models (LLM), vision-language models (VLM), multimodal AI, large-scale road network modeling
Technologies
Python, C++, Linux, Shell
Responsibilities
Develop ETA and traffic light algorithms; design traffic flow prediction models; mine real-time location data for navigation features; explore ML applications in smart navigation
