ClanXEngineering

Senior Applied Machine Learning Engineer (Evals, Agents, Data) - Bengaluru

Bengaluruonsitesenior

Posted today · via Recruitee

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About this role

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.…

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What we'd score you on

reqspace match rubric

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Skills match

For this role: typescript, python, teams

Level fit

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Domain experience

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Recency

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Location fit

This role is based in Bengaluru. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

typescriptpythonteams

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