Member of Technical Staff (Data Scientist, Evals)

📋 Description

• Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in

Responsibilities

• Architect and maintain automated evaluation pipelines to assess answer quality across Perplexity's
• Design evaluation sets and methods specifically to measure the impact of tool calls (particularly
• Develop VLM-based solutions to programmatically evaluate how final answers render visually across
• Continuously review public benchmarks and academic evaluations for their applicability to the
• Operate within a small, high-impact team where your evaluation metrics directly shape product

Qualifications

• PhD or MS in a technical field or equivalent experience
• 4+ years of experience in data science or machine learning
• Strong proficiency in Python and SQL (expected to write production-grade code)
• Experience building within a modern cloud data stack, specifically AWS and Databricks
• Comfortable with agentic coding workflows and using AI-assisted development tools to iterate faster

Preferred Qualifications

• 1+ years of experience working with LLMs at scale, specifically with LLM-as-a-judge setups
• Prior experience working on customer-facing web products or consumer apps, with real user traffic
• A strong research background, with experience applying research methods to real-world ML problems
• Experience defining evaluation metrics (e.g., factual consistency, hallucination rate, retrieval