Staff/ Senior Machine Learning Engineer, ML Infrastructure- Online
Unity Technologies
Full-time
other-general
Location
Shanghai, China, China
Posted
July 13, 2026
Job Description
Unity Vector builds ML infrastructure that powers real-time prediction, experimentation, attribution, and AI-driven decision-making across the company.
Our online ML systems serve production models at scale, supporting low-latency inference, large-scale experimentation, model deployment and optimization, feature processing, and business-critical decisioning. As model complexity, traffic volume, and experimentation velocity continue to grow, our inference platform must remain reliable, scalable, observable, and cost-efficient.
To support this growth, we need strong technical ownership to evolve the online ML infrastructure that enables ML teams to safely deploy, validate, and operate production models at scale.
**The Role**
We are seeking a senior/staff ML engineer to design and evolve Unity Vector’s online model inference platform. This role focuses on building reliable infrastructure for serving machine learning models in production, optimizing infe...
Our online ML systems serve production models at scale, supporting low-latency inference, large-scale experimentation, model deployment and optimization, feature processing, and business-critical decisioning. As model complexity, traffic volume, and experimentation velocity continue to grow, our inference platform must remain reliable, scalable, observable, and cost-efficient.
To support this growth, we need strong technical ownership to evolve the online ML infrastructure that enables ML teams to safely deploy, validate, and operate production models at scale.
**The Role**
We are seeking a senior/staff ML engineer to design and evolve Unity Vector’s online model inference platform. This role focuses on building reliable infrastructure for serving machine learning models in production, optimizing infe...