Perform tasks related to data pipelines and ML ops, including data cleaning, preparing datasets, and deploying models for the AI team.
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. You should be excited about working at a fast-faced startup, with an ownership mentality and a drive to build.
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.
Top Skills
DevOps
Ml Ops
Python
Vardera Boston, Massachusetts, USA Office
Boston, MA, United States, 02210
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