Found Description
Zendesk’s people have one goal in mind: to make Customer Experience better.
Role Overview
As an ML Engineer, you will build and ship LLM‑powered applications on solid data foundations—from agent architectures and evaluation frameworks to production ML systems that drive measurable business outcomes. You will own problems end‑to‑end: identifying what to build, designing intelligent systems, measuring whether they work, and iterating based on what you learn. Your business acumen allows you to translate complex analytical approaches into actionable insights and stakeholder‑friendly narratives, strengthening partnership and adoption across the enterprise.
Key Responsibilities
- Own business metrics (e.g., churn reduction, AI attach rate, seller productivity) and form an opinionated point of view on what we should build next to move them.
- Deeply understand our users, how they work, where they struggle, and what they need—and advocate f...