Member of Technical Staff (Search Crawler Analyst)
Listed by employer · Checked
Posted within 60 days ·
- Work arrangement
- hybrid
- Employment
- FullTime
- Stated compensation
- Not specified
Does the location policy fit?
Choose where you would work from. We’ll compare it with the posting’s stated requirements.
Not enough information in this posting — confirm with the employer
Checked for applicants in United States; employer sponsorship is not needed. Based on the source posting · not a hiring or work-authorization guarantee.
The posting does not specify whether applicants from your country are accepted.
Why this result?
3 still unclear
- The posting does not specify whether applicants from your country are accepted.
- Office attendance is required. Relocation and work permission have not been assessed.
- Visa sponsorship is not specified.
This checks the posting’s stated requirements, not your legal right to work. Confirm details with the employer.
Requirements
2 with evidence7 unclear or unstated- Remote policy
- hybrid
“Provider workplace type: hybrid”
From employer posting metadata - Minimum experience (years)
- 4
“4+ years of experience as a data analyst, ML engineer, or in a related role”
See matched passage in original description ↓ - Employment type
- FullTime
8 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Work authorization
- Not specified
- Compensation
- Not specified
These details were not stated in the tracked posting. Confirm with the employer.
Original job description
Reading view uses normalized posting text so exact evidence excerpts can be highlighted.
Show less description
Original formatting and links
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
No similar roles found yet — browse all perplexity jobs.
Explore stated remote geography
These collections reflect applicant location statements, not authorization or citizenship.