ReflectionAI

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.

This listing is sourced directly from ReflectionAI's careers page and normalized into a canonical job model.