Senior Applied ML Engineer, Evals & Data

About the Position

Senior Applied ML Engineer, Evals & Data

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 hard problems. We're backed by a Tier-1 global fund, YC, and founders of billion dollar companies.

Location

Bengaluru, Karnataka, India

Employment Type

Full time

Work Location Type

On-site

About the Role

Video is the most powerful way humans tell stories. It always has been. But creating it today is still painfully hard. Fragmented tools, steep learning curves, and workflows that get in the way of the actual creative work. We're building Cardboard to change that.

Cardboard runs a real video editor in the browser, backed by a serious cloud media pipeline and an AI agent that actually understands footage. You will own how we measure and improve the quality of Cardboard’s AI agent.

You will study real agent runs, turn important failures into evaluation cases, and measure whether changes make the product better. You will also work with product and engineering to ship those improvements.

This is not a research-only, prompt-only, or QA role.

You’ll be working alongside a team of engineers who all care deeply about craft, including the founders. You like owning problems end to end, and you’d rather ship something great this week than something perfect next quarter.

Responsibilities

• 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.
• Add regression checks and release gates while tracking quality, latency, and cost.
• Solve these hard problems.

Requirements

• 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.

You do not need a PhD or experience training foundation models. Evidence of building reliable AI products matters more than formal credentials or knowledge of a specific framework.

Nice to Have

• Experience with multimodal AI, video, media, or creative software.
• Experience with human labeling, model graders, or fine-tuning.
• Good knowledge of experiment design and statistics.

What We Offer

• Competitive salary and founding-team equity.
• Unlimited tokens across every AI model. Use whatever you want, as much as you want.
• A healthy budget for AI tools and any peripherals you need to do your best work.

About the Company

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 hard problems. We're backed by a Tier-1 global fund, YC, and founders of billion dollar companies.