MLOps Physical AI Data Intern - 2027

Responsibilities

• Contribute to the development of distributed data pipelines supporting large-scale GT generation and global data distribution.
• Support the integration of international datasets (vision, LiDAR, map, and sensor) for multi-region model development and validation.
• Develop GT auto labeling, LLM models, and a variety of AI Agents for the global GT generation.
• Help design tools for monitoring data quality, job status, and progress tracking within the global GT release pipeline.
• Participate in continuous improvement initiatives for platform scalability, performance tuning, and workflow automation.
• What We Need to See
• Currently pursuing a BS, MS, or PhD in Computer Science, Software Engineering, Data Engineering, or a related field.
• Solid programming experience with Python and C++.
• Good understanding of computer vision, AI agent development, LLM and machine.
• Analytical and problem-solving abilities, with an interest in large-scale AI data ecosystems.

Languages