Senior Applied ML Engineer, Evals & Data

About

• We're building the future of storytelling and video editing.

• We're a small team that moves fast and builds things we're proud of.

• We care obsessively about taste: in design, in product, in every detail.

• We're solving these hard problems.

• We're backed by a Tier-1 global fund, YC, and founders of billion dollar companies.

Engineering

Video is the most powerful way humans tell stories. It always has been. But creating it today is still painfully hard. Fragmented tools, steep learning curves, and workflows that get in the way of the actual creative work. We're building Cardboard to change that.

Cardboard runs a real video editor in the browser, backed by a serious cloud media pipeline and an AI agent that actually understands footage. You will own how we measure and improve the quality of Cardboard’s AI agent.

You will study real agent runs, turn important failures into evaluation cases, and measure whether changes make the product better. You will also work with product and engineering to ship those