Machine Learning Engineer, ML Infrastructure (New Grads)
Unity Technologies • Shanghai, China • Posted July 15, 2026
About the Role
Unity Vector builds an Data platform that powers insight, experimentation, attribution, and AI-driven decision-making across the company.
Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform also supports large-scale model training, feature generation, and experimentation workflows that power production ML systems.
To support this growth, we need strong technical ownership to ensure our ML pipelines remain reliable, scalable, and architecturally sound.
**The Role**
We are seeking a ML engineer to evolve Unity Vector’s ML platform. This role focuses on building reliable infrastructure for serving machine learning models in production, or model training platform, and enabling safe, efficient experimentation across high-traffic online systems.
You will work closely with ML engineers, platform...
Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform also supports large-scale model training, feature generation, and experimentation workflows that power production ML systems.
To support this growth, we need strong technical ownership to ensure our ML pipelines remain reliable, scalable, and architecturally sound.
**The Role**
We are seeking a ML engineer to evolve Unity Vector’s ML platform. This role focuses on building reliable infrastructure for serving machine learning models in production, or model training platform, and enabling safe, efficient experimentation across high-traffic online systems.
You will work closely with ML engineers, platform...