ReflectionAI
Member of Technical Staff - Web Crawl Engineer
San Francisco · Staff+
H1B sponsorship availableDetected 33 days ago
HTMLDistributed SystemsSparkLLMsA/B TestingSystems EngineeringResearchCommunication
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.
Responsibilities
- 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
- 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
- Build observability, monitoring, and reliability systems for large-scale crawl operations
- Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
- Team building: We have regular off-sites, happy hours, and team celebrations.
- Joining Reflection means building from the ground up as part of a talent-dense team.
Requirements
- Strong understanding of crawling architectures, URL frontier management, scheduling, and distributed crawl coordination
- Experience with large-scale distributed systems using technologies such as Ray, Spark, Beam, Flink, or similar frameworks
- Familiarity with content extraction, HTML parsing, browser automation, rendering systems, and modern web technologies
- Experience operating systems that process petabyte-scale datasets
- Excellent communication skills and the ability to reason clearly about system tradeoffs and operational constraints
- Experience building large-scale web crawling, search indexing, content acquisition, or internet-scale data collection systems
- Strong systems engineering skills, including reliability, observability, performance optimization, and debugging
- Experience designing experiments and using data to improve crawl quality, coverage, and efficiency
Nice to have
- Familiarity with anti-bot systems, dynamic web content, browser automation, and large-scale extraction pipelines
- Understanding of how web data is used in training and evaluating large language models
- Experience with distributed storage systems, content deduplication, and web-scale dataset management
Compensation
- Salary and equity structured to recognize and retain our talent globally.
- Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Benefits
- Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
- Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
- Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
- Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
- Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Company info
- make intelligence open and accessible to all.
- 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.
Visa & Work Authorization
- We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
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This listing is sourced directly from ReflectionAI's careers page and normalized into a canonical job model.