Software Engineer, Data
Vardera Labs
Software Engineering
Boston, MA, USA · Remote
USD 125k-225k / year + Equity
Posted on Dec 16, 2025
Software Engineer, Data
Interested in this role? Email us at careers@varderalabs.com Send a GitHub link or an example of a messy data problem you’ve solved — that’s what we care about!
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
You Are
Strong in Python and software engineering fundamentals
Comfortable with large, inconsistent datasets
Able to deploy code and debug pipelines
Detail-oriented, fast, and scrappy
Excited to work one sprint ahead of the AI team
Nice to have:
ML Ops, DevOps, computer vision experience, startup experience, Boston.
Why Join
Founding-team impact in a venture-backed company solving valuation and grading for multi-trillion-dollar asset classes.
A chance to define how AI success is measured in markets that have never had rigorous, transparent metrics.
Report directly to the founders (repeat founders, published AI research) — moving fast, breaking bottlenecks, and scaling across categories.
Compensation
Salary level matching seed-stage hires (relative to experience and fit): $125,000 - $225,000
Equity: Meaningful early equity in a high growth startup
Location
Hybrid with periodic in-person offsites and industry conferences. While we have a bias towards in person in Boston, it’s not required everyday, but expected you spend >50% of your time in the office.
