Senior Applied Machine Learning Engineer (Eval) - Bengaluru

Senior Applied ML Engineer to own AI quality for Cardboard’s agentic video editor, building evaluation datasets, offline/online evals, regression checks, and feedback loops that turn production failures into measurable improvements.

Company Details
Cardboard is an AI-first video editor building agentic tools that understand user requests, work with media, and make real edits on the timeline. It is backed by a Tier-1 global fund, YC, and founders of billion-dollar companies. Website: https://www.usecardboard.com

Requirements

• Experience shipping and operating an LLM or agent system used by real customers.

• Strong software engineering skills in TypeScript or Python, with ability to work across both.

• Experience building evaluations, datasets, experiments, or AI quality systems.

• Strong product judgment and ability to turn vague AI quality issues into measurable problems.

• Ability to work across data, evaluation methods, model selection, and fine-tuning.

• Strong ownership as a senior individual contributor.

• Bonus: Experience with multimodal AI, video, media, or creative software.

• Bonus: Experience with human labeling, model graders, or fine-tuning.

• Bonus: Strong understanding of experiment design and statistics.

Responsibilities

• Define quality standards for Cardboard’s agent.

• Build trusted evaluation datasets from real product usage.

• Build offline and online evaluations using automated checks, model graders, and human review.

• Analyze real agent runs and identify recurring failure patterns.

• Improve agent quality through better data, evaluation methods, model selection, and fine-tuning.

• Build regression checks and release gates for important agent changes.

• Track AI quality alongside latency and cost.

• Partner with product and engineering teams to ship measurable improvements.

Job Details
Bengaluru, India

Interview Process

• Recruiter Screen

• Technical Interview

• ML & Evaluation Deep Dive

• Product & Engineering Interview

• Final Interview

Important Note
ClanX is a recruitment partner, helping Cardboard hire Senior Applied ML Engineer, Evals & Data.