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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.
Vardera Boston, Massachusetts, USA Office
Boston, MA, United States, 02210
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
