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Interested in this role? Email us at [email protected] Send a GitHub link or an example of a messy data problem you’ve solved — that’s what we care about!

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About Vardera Labs

Vardera Labs is building the next generation of infrastructure for the auction and collectibles industry—combining cutting-edge AI, computer vision, and automation to power catalog creation, data strategy, and operational excellence for auction houses worldwide. We’re a small, venture-backed team with a bold mission: to modernize a multi-billion-dollar market at a critical moment of generational ownership transfer and digital transformation.

About the Role

We need a Software Engineer who loves messy data and wants to sit at the intersection of data pipelines, light ML Ops, and “glue code” that makes models actually work in production.

This is the person who lets the AI team move twice as fast by owning everything that happens before training and after training — schemas, cleaning, shaping, deploying, documenting.

Not an ML researcher.

Not a pure DevOps engineer.

A data-focused SWE who thrives in ambiguity and gets s*** done.

What You’ll Do

• Clean, normalize, and structure messy datasets into usable schemas
• Build repeatable data pipelines and transformation scripts
• Track basic model quality & drift
• Deploy models (containers, endpoints, green-blue swaps)
• Document everything clearly so the team can train without blockers