Machine Learning Engineer, Foundation Model
DiDi Labs(20 days ago)
About this role
The Foundation Model Team at DiDi Autonomous Driving focuses on developing large-scale foundation models for multi-agent behavior prediction and autonomous vehicle planning. The role involves training deep learning systems using extensive driving data to enable intelligent and safe autonomous driving. This position operates at the intersection of large-scale machine learning and autonomous driving research, aiming to advance multi-agent prediction and planning capabilities.
Required Skills
- Machine Learning
- Deep Learning
- Python
- C++
- Autonomous Driving
Qualifications
- BS in Computer Science
- MS in Machine Learning
- PhD in Robotics
About DiDi Labs
didiglobal.comDidi Global (滴滴出行) is a leading mobility platform that connects riders and drivers through its app to provide ride-hailing, taxi, chauffeured car, carpooling and other on-demand transport services. The company also offers related offerings such as bike-sharing, corporate mobility and logistics, plus payments, fleet management and safety features integrated into its platform. Founded in China and active in multiple international markets, Didi leverages large-scale data and AI for dispatch, routing and pricing, and partners with automakers and tech firms on autonomous driving and smart-mobility initiatives. Customers and enterprise partners use Didi for its broad service coverage, integrated mobility solutions and large user base.
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