Reality Defender (YC W22)

Applied Scientist II – Audio

Reality Defender (YC W22)

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $140,000 - $180,000 per year

Tech Stack

About the role

  • Tune and optimize ML/DL models for production-scale audio deepfake detection.
  • Investigate failure cases in the client environment, build custom evaluation frameworks, and implement mitigation strategies for model robustness.
  • Drive model iteration for performance under a variety of real-world environments, e.g. compression artifacts, noise, telephony, and streaming pipelines.
  • Present technical findings and model performance insights to internal stakeholders.
  • Interface with Product and Engineering teams to build a deep understanding of the production environment and incorporate relevant evaluations for performance assessment.

Requirements

  • Master’s or PhD in Computer Science, Machine Learning, Signal Processing, or related field
  • Fresh PhD graduate, or Masters with 3+ years of industry experience building and deploying ML/DL models for AI products
  • Strong programming skills in Python and model ML frameworks (PyTorch, JAX)
  • Solid understanding of audio processing fundamentals, classification and detection metrics (ROC, DET curves, precision/recall trade-offs), model robustness and evaluation
  • Experience with large-scale training and benchmarking pipelines, either in an academic or an industry research role.
Benefits
  • Healthcare plans with 100% premium coverage for employees and partial coverage available for dependents
  • Dental and Vision plans with 100% premium coverage for employees and their dependents
  • Short/Long-term disability and life insurance plans with 100% premium coverage for employees
  • FSA/HSA and 401k programs
  • Equity compensation
  • 20 days of PTO per year
  • 12 weeks of Parental Leave
  • Learning and Development budget
  • Monthly wellness benefits
  • Annual company-sponsored offsite
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningdeep learningmodel optimizationPythonPyTorchJAXaudio processingclassification metricsdetection metricsmodel evaluation
Soft Skills
communicationpresentationcollaborationproblem-solving
Certifications
Master’s degreePhD