CareerPlan

MLOps Physical AI Data Intern - 2027

China, ShanghaiInternship2026-10-12 → 2026-11-10

Core

Building large-scale data infrastructure, LLM models, and AI agents for Ground Truth generation to support global automotive and robotic partners.

Role type

MLOps Physical AI Data Intern

Builds

Distributed data pipelines, international datasets (vision, LiDAR, map, sensor), GT auto labeling, LLM models, and AI Agents

Domain

Physical AI, Autonomous Driving, Computer Vision

Deliverable

production ML models

Required skills

Python, C++, Computer Vision, LLM, Machine Learning, Data Engineering

Preferred skills

AI Agent Development, Physical AI Data Engineering, Autonomous Driving Data, Physical AI Modeling

Technologies

LLM, AI Agents, LiDAR, Vision, Map Data

Responsibilities

Develop distributed data pipelines for large-scale GT generation; Integrate international datasets for multi-region model development; Develop GT auto labeling and AI Agents; Design tools for monitoring data quality and job status; Participate in platform scalability and workflow automation initiatives.