About the role
Our Mission Reflection’s mission is to build open superintelligence and make it accessible to all . We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
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 Develop specialized crawlers for high-value domains, dynamic websites, and difficult-to-access content sources Analyze crawl performance and web coverage to identify gaps, inefficiencies, and opportunities for improvement Build observability, monitoring, and reliability systems for large-scale crawl operations Debug production issues and continuously improve the performance, scalability, and resilience of crawling infrastructure About You Passionate about web-scale systems and the challenges of collecting information from the internet Curious about how web data influences model capabilities and willing to iterate based on downstream results Comfortable balancing crawl quality, coverage, freshness, and operational efficiency Enjoy working at the intersection of distributed systems, data infrastructure, and AI Able to collaborate closely with researchers, infrastructure engineers, and data quality teams Skills and