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AI Audio Deepfake Detection Engineer

Elena Cohen

Full-time · Job · New_York

About the role

AI-generated voices are now indistinguishable from real ones to the human ear. That's exciting for synthetic media and terrifying for voice authentication, call centers, courtroom evidence, and political information integrity. Our audio deepfake detection system identifies AI-generated speech with 97% accuracy across 15 synthesis methods — from openly available tools to cutting-edge voice cloning research. The detection challenge is adversarial. As synthesis methods improve, detection models trained yesterday become obsolete tomorrow. You'll build a detection system that's robust to unseen synthesis methods by focusing on fundamental artifacts of the generation process rather than signatures of specific tools — the subtle spectral inconsistencies, unnatural prosodic rhythms, and microstructure patterns that differentiate synthesized from genuine speech. The audio AI research team is six engineers. You'll be the senior detection researcher who drives the methodology, working alongside synthesis engineers who understand what artifacts their models produce and security researchers who red-team the detection system with novel attack approaches.

Responsibilities

  • Build audio deepfake detection generalizing to unseen synthesis methods
  • Design features capturing fundamental synthesis artifacts beyond tool-specific signatures
  • Develop adversarial robustness testing against novel synthesis approaches
  • Evaluate detection accuracy across 15+ synthesis methods
  • Research new detection approaches as the field evolves rapidly
  • Collaborate with synthesis team to understand artifact generation mechanisms

Requirements

  • 6+ years in speech or audio ML with security or anti-spoofing experience
  • Deep understanding of speech synthesis and its artifacts
  • Strong PyTorch skills and experience with spectral audio analysis
  • Experience with adversarial robustness testing
  • Publications or significant contributions in audio security or deepfake detection preferred

Benefits

  • Fully remote with async culture
  • $200K+ total compensation plus equity
  • Comprehensive health coverage
  • Unlimited conference and research budget
  • Defend information integrity against synthetic media

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$200k+ / year

AI Expertise

AI & Machine Learning Engineers AI Product & Strategy

Skills

python pytorch hugging face docker aws statistics

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