Research Crawling Engineer

About the Company

We build infrastructure that delivers massive amounts of web data to the companies training the world’s most powerful AI models. We 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.

Responsibilities

• Build and maintain large-scale web crawlers across diverse domains
• Design high-throughput, fault-tolerant systems for data collection
• Handle anti-bot systems, rate limits, and dynamic/JS-heavy sites
• Develop pipelines for cleaning, deduplication, filtering, and normalization
• Construct and maintain datasets for research and model training
• Monitor crawl performance, coverage, and data quality
• Collaborate with research teams to align data collection with modeling needs
• Optimize infrastructure for cost, latency, and reliability

Requirements

• Strong programming experience in 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

Preferred Qualifications

• Experience with NLP pipelines or dataset curation for ML
• Familiarity with LLM pretraining data or retrieval systems
• Experience with headless browsers (e.g., Playwright, Puppeteer)
• Knowledge of proxy systems, IP rotation, and large-scale request orchestration
• Experience running workloads on cloud or bare-metal infrastructure