Member of Technical Staff - Web Crawl Engineer
Reflection AI · San Francisco, CA
CHECKED 20H AGO
Frontier labonsite
At a glance
Highlights
- Build web-scale crawling infrastructure across billions of URLs.
- Own URL discovery, scheduling, and crawl orchestration systems.
- Power frontier AI with fresh, diverse web data at scale.
What they offer
- Top-tier compensation with salary and equity
- Stock options for all contributors
- Comprehensive medical, dental, vision and life insurance plus wellness allowance
- Lunch and dinner provided in the office daily
- 22 weeks paid parental leave for all new parents
- Unlimited paid time off in the U.S. and 30 days in the U.K.
- Visa sponsorship and long-term immigration support
- Regular off-sites, happy hours and team celebrations
Ideal candidate
Distributed-systems engineer passionate about web-scale data collection and how web data shapes frontier models. Collaborates closely with researchers and thrives balancing coverage, freshness, quality, and efficiency.
Requirements
- Experience building large-scale web crawling, search indexing, content acquisition, or internet-scale data collection systems
- 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
- Strong systems engineering skills, including reliability, observability, performance optimization, and debugging
- Experience designing experiments and using data to improve crawl quality, coverage, and efficiency
- Excellent communication skills and ability to reason about system tradeoffs and operational constraints
- visa sponsorship
- Visa sponsorship available with long-term immigration support
Lab profile
About Reflection AI
Research lab making intelligence open and accessible for everyone to use, customize, and build on.
What they build
- Open foundation models
- Aligned general agents
- Enterprise AI deployments
Known for
- Frontier model pre-training
- Post-training and alignment
- Distributed training infrastructure
- Secure cloud platform foundations