The internet is vast, containing trillions of URLs. Perplexity’s crawling and storage system is complex and has multiple stages (URL discovery, crawling, parsing, indexing). Each stage offers many opportunities for improvement and room for intricate bugs. You’ll work at the intersection of data analysis and engineering — designing metrics, building data pipelines, and improving the quality of our search and answer systems.
Responsibilities
- Find and diagnose quality issues in our crawling pipeline
- Train small models that optimize particular aspects of the pipeline (e.g. parsing quality)
- Build datasets for model training, including LLM-as-a-judge labeling pipelines
- Improve page selection algorithms for indexing
- Design and analyze experiments to validate improvements
Qualifications
- 4+ years of experience as a data analyst, ML engineer, or in a related role
- Strong coding skills: you should be able to write production-grade code at the level of a mid-level backend engineer
- Experience designing metrics from scratch
- Experience training ML models that shipped to production with measurable metric improvements
Nice to have
- Direct experience working on web crawling or indexing pipelines
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Member of Technical Staff (Search Crawler Analyst) employer: Perplexity
Perplexity is an exceptional employer that fosters a collaborative and innovative work culture, where your contributions directly impact the evolution of cutting-edge search technologies. With a hybrid work model in vibrant cities like Belgrade, London, or Berlin, employees enjoy flexibility alongside opportunities for professional growth and development in a dynamic environment. Join us to be part of a team that values creativity and excellence, while also providing competitive benefits and a supportive atmosphere for personal and career advancement.
