Opportunity 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 ML engineer to design and evolve the large-scale offline platform. This role focuses on building reliable infrastructure for generating training datasets, orchestrating ML workflows, and enabling efficient, ...
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 ML engineer to design and evolve the large-scale offline platform. This role focuses on building reliable infrastructure for generating training datasets, orchestrating ML workflows, and enabling efficient, ...
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