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Senior Applied Machine Learning Engineer - Bengaluru
CLANX
Bengaluru, IND
Full-time
Onsite
Discovered 1 weeks ago
Machine learningLLM and agent systemsTypeScriptPythonAI evaluationEvaluation datasets
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Machine learningLLM and agent systemsTypeScript
Role Overview
Own AI quality for Cardboard’s agentic video editor and turn production failures into measurable improvements.
Work on agentic tools that understand user requests, work with media, and make real edits on the timeline.
Key Skills for This Role
Machine learningLLM and agent systemsTypeScriptPythonAI evaluationEvaluation datasets
Full Job Posting
Role overview
Own AI quality for Cardboard’s agentic video editor and turn production failures into measurable improvements.
Work on agentic tools that understand user requests, work with media, and make real edits on the timeline.
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 qualifications
- Experience with multimodal AI, video, media, or creative software.
- Experience with human labeling, model graders, or fine-tuning.
- Strong understanding of experiment design and statistics.
Responsibilities
- Define quality standards for Cardboard’s agent.
- Build trusted evaluation datasets from real product usage.
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