Location: Belgrade; London; Berlin
Workplace: Hybrid
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
Контакты работодателя доступны по кнопке «Откликнуться» после входа.
ГибридSan Francisco Bay Area, USA; Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone
ГибридSan Francisco Bay Area, USA; Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone