Senior Applied Machine Learning Engineer (Eval) - Bengaluru
CLANX · Bengaluru, Karnātaka, India
Checked against recruitee — still accepting applications.
- Location
- Bengaluru, Karnātaka, India
- Type
- Full-time
- Posted
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.
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