Audio ML Engineer (AI)

TL;DR

Audio ML Engineer (AI): Building, tuning, and deploying state-of-the-art audio deepfake detection models for real-world client environments with an accent on model robustness, reliability, and performance under adversarial conditions. Focus on investigating failure cases, building custom evaluation frameworks, and optimizing models for diverse audio artifacts like noise and compression.

Location: Global Remote (US-based benefits/401k/HSA indicate US-only eligibility)

Salary: $160,000 – $210,000

Company

hirify.global is an award-winning cybersecurity company providing an API-first platform to detect deepfakes and AI-generated media for enterprises and governments.

What you will do

• Tune and optimize ML/DL models for production-scale audio deepfake detection.
• Investigate failure cases in client environments and implement mitigation strategies.
• Build custom evaluation frameworks to ensure model robustness.
• Drive model iteration for performance under real-world conditions like noise and telephony.
• Present technical findings and model performance insights to internal stakeholders.
• Collaborate with Product and Engineering teams to align model performance with production requirements.

Requirements

• Master’s or PhD in Computer Science, Machine Learning, or Signal Processing.
• Fresh PhD graduate or Masters with 3+ years of industry experience in ML/DL.
• Strong programming skills in Python and frameworks like PyTorch or JAX.
• Solid understanding of audio processing fundamentals and classification metrics.
• Experience with large-scale training and benchmarking pipelines.

Culture & Benefits

• Comprehensive healthcare, dental, and vision plans with 100% premium coverage.
• FSA/HSA and 401k programs.
• Equity compensation and annual performance bonus.
• 20 days of PTO per year and 12 weeks of parental leave.
• Learning and development budget and monthly wellness benefits.
• Annual company-sponsored offsite.