Member of Technical Staff - Web Crawl Engineer

OUR MISSION

Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.

ABOUT THE ROLE

The web is one of the most important sources of information for frontier AI systems. The quality, coverage, freshness, and diversity of web data directly influence model capabilities.

As a member of the Data Team, your mission is to build and operate large-scale web crawling systems that continuously discover, acquire, and process content from across the internet. You will own the infrastructure that powers web-scale data collection, from URL discovery and scheduling to distributed crawling, content extraction, and dataset delivery.

You will work directly with world-class researchers to understand which parts of the web matter most for model performance and build systems that efficiently acquire high-value content at scale.

This role is ideal for engineers who love building distributed systems, optimizing large-scale crawlers, and solving the unique technical challenges of collecting data from the modern web.

WHAT YOU’LL DO

Working closely with our pre-training, infrastructure, and data quality teams, you will:

- Build and operate web-scale crawling infrastructure capable of continuously collecting data across billions of URLs

- Design and optimize URL discovery, prioritization, scheduling, and crawl orchestration systems

- Develop distributed crawlers that efficiently acquire content while respecting site constraints and operational requirements

- Build systems for content extraction, rendering, parsing, and normalization across diverse web formats

- Improve crawl coverage, freshness, efficiency, and quality through measurement and experimentation

- Design infrastructure for large-scale recrawling, change detection, and incremental updates

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