Senior Applied ML Engineer, Evals & Data

About this role

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Skills you'll use

What you'll do

• 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 https://www.usecardboard.com/hard-problems hard problems.
• We're backed by a Tier-1 global fund, YC, and founders of billion dollar companies.
• Define quality standards and build trusted evaluation datasets from real product usage.
• Build offline and online evaluations, including automated checks and human review.
• Analyze model and agent failure patterns, then improve quality through better data, evaluation methods, model selection, and, where useful, fine-tuning.

Who can apply

• Add regression checks and release gates while tracking quality, latency, and cost.
• Solve these https://www.usecardboard.com/hard-problems hard problems.
• Experience shipping and operating an LLM or agent system used by real customers.
• Strong software engineering skills in TypeScript or Python, with the ability to work across both.
• Experience building evaluations, datasets, experiments, or AI quality systems.
• Strong product judgment and the ability to turn unclear quality problems into measurable improvements.
• Experience with multimodal AI, video, media, or creative software.
• Experience with human labeling, model graders, or fine-tuning.

About Cardboard, Inc

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