Principal Machine Learning Engineer

Responsibilities

• Build infrastructure for agent runtime, evaluation, quality measurement, and model optimization.
• Create tooling that helps teams understand where their evals are strong, where coverage is missing, and where users are asking questions the system is not yet prepared to handle.
• Design signal pipelines that surface user frustration, agent failure states, and quality issues before they show up as CSAT drops.
• Build systems to evaluate new models across agents, improving product quality, reducing cost, and supporting future model routing.

Languages