Machine Learning Engineer, Foundation Model

DiDi Labs(3 days ago)

HybridFull TimeSenior$129,189 - $247,038Autonomous Driving

About this role

A senior research role on DiDi Autonomous Driving’s Foundation Model Team focused on developing large-scale foundation models for multi-agent behavior prediction and autonomous vehicle planning. The position leverages DiDi’s driving data to train robust, generalizable deep learning systems that serve as core intelligence for autonomous vehicles. The role spans research and productization to enable safe, scalable autonomous driving at fleet scale.

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Required Skills

Machine Learning
Deep Learning
Robotics
PyTorch
JAX
TensorFlow
Transformers
Diffusion Models
Python
C++

+8 more

Qualifications

BS in Computer Science or Related Field
MS in Computer Science or Related Field
PhD in Computer Science or Related Field

About DiDi Labs

didiglobal.com

Didi 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.