About the Role
Join a data infrastructure team building large-scale web data collection systems for AI research and model development. This role focuses on reliable, high-volume crawling and dataset preparation across diverse and changing web environments.
What You'll Do
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Build and maintain web crawlers across social, travel, and multilingual websites.
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Design high-throughput, fault-tolerant systems capable of collecting millions to billions of URLs per day.
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Address anti-bot systems, rate limits, and dynamic websites using browser-based and other crawling techniques.
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Develop pipelines to clean, deduplicate, filter, and normalize web data at terabyte to petabyte scale.
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Collaborate with research teams to create datasets suited to model training and research needs.
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Monitor crawl coverage, performance, and data quality, adapting systems as websites change.
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Optimize crawling infrastructure for cost, latency, and reliability across cloud or bare-metal environments.
What We're Looking For
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At least 2 years of experience building web crawlers or large-scale data pipelines; typically 4 or more years, with 2 or more years considered for candidates with a PhD.
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Experience operating data pipelines at terabyte scale or larger, including high-volume crawling or data acquisition.
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Strong programming skills in Go, Rust, Python, Java, or C++.
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Deep knowledge of HTTP, networking, browser behavior, distributed systems, and parallel processing.
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Hands-on experience navigating anti-bot systems, rate limits, and JavaScript-heavy websites.
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Experience with headless browsers such as Playwright or Puppeteer, proxy systems, and IP rotation.
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Background in data quality evaluation, web data processing, or cloud and bare-metal infrastructure.
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Experience with NLP pipelines or machine learning dataset curation is a plus.
Compensation & Benefits
Annual salary range: $160,000 to $250,000 USD. Visa sponsorship is not available.
Location
Remote.
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