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Member of Technical Staff (Software Engineer, Data Flywheel)

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Onsite

Member of Technical Staff (Software Engineer, Data Flywheel)

Perplexity AI

Member of Technical Staff (Software Engineer, Data Flywheel)

Skills

SQL QueriesBig DataData EngineeringPythonDatabricksMachine LearningAIAWS

2 months ago

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Important information


Contract type:

Permanent

Salary:

$210,000 – $385,000 / year

Location:

United States

Work mode:

Onsite

Published on:

14 August 2026

What they need


  • Build the systems and pipelines that enable Search, Product, and other teams to independently access and utilize reliable eval verdicts without bottlenecks
  • Take ownership of the “evals-to-product” loop, autonomously determining the best way to turn raw signals into durable datasets that power decision-making across the company
  • Build a robust simulator pipeline capable of replaying user interactions with the product in formats legible to LLMs and VLMs, reflecting product changes as they are shipped
  • Maintain data trust by implementing monitoring, lineage, and quality checks, ensuring downstream consumers can rely on the results implicitly
  • Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality- 3+ years of software engineering experience shipping production systems
  • Experience with AWS and lakehouse ecosystems like Databricks or Spark
  • Solid fundamentals in data modeling, system design, and debugging distributed systems
  • Strong proficiency in Python and SQL with the ability to write production-grade, maintainable code
  • Experience with big data systems including distributed compute and large-scale storage
  • Comfortable with agentic coding workflows and using AI-assisted development tools to iterate faster
  • Data engineering background including pipelines, orchestration, and warehousing patterns
  • Familiarity with LLM/VLM interfaces, tokenization, structured formats, and multimodal payloads
  • Experience with evaluation platforms, experimentation systems, or machine learning infrastructure
  • Prior work supporting customer-facing products at scale

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