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Stelle
Member of Technical Staff (Data Scientist/Engineer, Online Metrics)
Data Engineer
• Remote
• Vollzeit
• 📍 New York City
Derive online signals from user interactions to bridge the gap between changes in answer quality and observed user behavior.
Responsibilities
- ▹Discover and validate online signals that serve as reliable proxies for true answer quality
- ▹Design and implement new online metrics for A/B testing and product health dashboards, aligned with ground-truth evaluations
- ▹Analyze experimental results to validate metrics, ensuring they accurately predict user satisfaction
- ▹Build and maintain data pipelines that calculate these metrics at scale
- ▹Communicate findings in close collaboration with Product and Search teams
- ▹Operate in a small, high-impact team shaping how Perplexity measures and improves Answer Quality
Requirements
- ▹MS in a technical field or equivalent experience
- ▹4+ years of experience as a Data Scientist, Analytics Engineer, or related role
- ▹Experience with search, recommendation, or LLM-based products, designing online metrics and analyzing A/B experiments
- ▹Strong proficiency in Python and SQL (production-grade code expected)
- ▹Deep knowledge of statistical analysis
- ▹Experience with Business Intelligence (BI) tools for visualization and reporting
- ▹Comfortable with agentic coding workflows and AI-assisted development tools
Nice to have
- ▹Proficiency with Apache Spark and Databricks
- ▹Experience with the development or validation of LLM-as-a-judge systems
- ▹Prior work supporting customer-facing products at scale
Soft skills
Clear communication and close collaboration with Product and Search teamsAutonomy in a small, high-impact team
About the company
Perplexity serves tens of millions of users daily with reliable, high-quality answers from its LLM-first search engine and specialized data sources; the Answer Quality team measures and improves answer quality.
Education: MSc műszaki területen (vagy azzal egyenértékű tapasztalat)
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