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AI Voice Search Ranking Engineer

Kyle Park

Full-time · Job · Denver

About the role

As a fully async team, we believe great engineers do their best work without someone watching over their shoulder. Voice queries rank differently than typed ones — they're longer, more conversational, and full of disfluencies our current text-tuned ranker handles poorly. You'll join our search team to build ranking adjustments specifically for voice-originated queries, working under a senior engineer while you get up to speed on our retrieval stack.

Responsibilities

  • Build ranking adjustments tuned for voice-originated query patterns
  • Analyze disfluency and phrasing differences versus typed queries
  • Support senior engineers on rag pipeline experiments
  • Track ranking quality metrics specific to voice search sessions

Requirements

  • 1-2 years experience with python and nlp fundamentals
  • Some exposure to rag or retrieval-based search systems
  • Interest in voice interfaces or conversational search
  • Comfortable working async with a distributed team

Benefits

  • Fully remote position
  • Async-first, flexible schedule
  • Health and dental insurance
  • Mentorship from senior search engineers

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Job Type

Full-time

Level

Junior

Language

English

Salary Range

$60k – $80k / year

AI Expertise

NLP & Prompt Engineering

Skills

python langchain hugging face rag openai api

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