Collinear AI
MTS - Engineering (Data Infrastructure)
San Francisco, CA · Senior
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About the role
- This is a hands-on role at the intersection of algorithms, distributed systems, and data quality.
- Many of our hardest problems, such as linking related records across millions of files, don't split up neatly, and you will define how we solve them at scale.
Responsibilities
- Build pipelines that process multi-terabyte datasets in parallel across archives, spreadsheets, email, PDFs, and scanned documents
- Design graph-based systems that link related records, such as the same person or company appearing across millions of files
- Build fast string and pattern search over large, heterogeneous datasets
- Define how we measure data quality, and build review tools so the team can catch and fix errors without reprocessing everything
- As a Member of Technical Staff - Engineering (Data Infrastructure), you will own the systems that turn large, real-world datasets into data Collinear can build on.
Requirements
- You have 5+ years of experience building data-intensive systems in production
- You have a strong command of graph algorithms, and experience using them to transform large amounts of data
- You have built efficient string matching and pattern search at scale, such as fuzzy matching or indexing
Nice to have
- Experience with entity resolution or record linkage
- Experience with NLP or LLM-based information extraction
- Experience in a systems language such as Rust, C++, or Go
Company info
- The pace at which we process these determines how fast we deliver to frontier labs.
This listing is sourced directly from Collinear AI's careers page and normalized into a canonical job model.