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About the role
As a Research Crawling Engineer, you will design and operate large-scale web data acquisition systems for research and model development. Your work will span distributed systems, scraping infrastructure, and data pipelines. Please note: This role requires a work schedule that sufficiently overlaps with EST business hours to collaborate effectively with the team .
What they're looking for
- Strong programming experience in one or more of: Go, Rust, Python, Java, or C++
- Experience building web crawlers or large-scale data pipelines
- Solid understanding of HTTP, networking, and browser behavior
- Familiarity with distributed systems and parallel processing
- Experience working with large datasets (TB–PB scale preferred)
- Ability to debug unstable or adversarial environments
More about this role
We build infrastructure that delivers massive amounts of web data to the companies training the world’s most powerful AI models.
We're the team that helps to power and support Grass, a bandwidth-sharing network that lets us operate a massive distributed crawler, giving us unique access to high-quality public web data at global scale. On top of that, we’ve built pipelines for ingesting, segmenting, and annotating billions of videos, transcripts, and audio files, powering dataset creation for frontier labs.
We’re lean, technical, and move fast. No red tape, no slow decision-making; just a team of builders pushing to expand what’s possible for open web data and AI.
As a Research Crawling Engineer, you will design and operate large-scale web data acquisition systems for research and model development. Your work will span distributed systems, scraping infrastructure, and data pipelines.
Please note: This role requires a work schedule that sufficiently overlaps with EST business hours to collaborate effectively with the team .
Build and maintain large-scale web crawlers across diverse domains
Design high-throughput, fault-tolerant systems for data collection (millions to billions of...
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