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AI Voicemail Transcription Accuracy Engineer

Daniel Sokolov

Full-time · Job · London

About the role

Have you ever listened to a voicemail transcript so garbled you had to play the original audio anyway? We already have a solid general-purpose speech model in production; what's missing is a specialized layer tuned for the low-quality, noisy audio typical of voicemail. You'll fine-tune models specifically on voicemail-style audio, then build evaluation sets that reflect real-world call conditions rather than clean studio recordings. We publish internally and encourage conference submissions on speech research.

Responsibilities

  • Fine-tune speech models on voicemail-quality audio
  • Build evaluation sets reflecting real-world call conditions
  • Benchmark accuracy against the general-purpose production model
  • Publish internal findings on noisy-audio transcription

Requirements

  • 4+ years with pytorch and speech or audio models
  • Experience with hugging face model fine-tuning
  • Comfortable working with messy, real-world audio data

Benefits

  • Fully remote position
  • Conference and publication support
  • Health and dental insurance
  • Competitive salary

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$130k – $160k / year

AI Expertise

NLP & Prompt Engineering AI & Machine Learning Engineers

Skills

python pytorch hugging face tensorflow statistics

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