🛠 Tech Stack

💼 About This Role

You'll build, tune, and deploy state-of-the-art audio deepfake detection models for a fast-growing cybersecurity company. You'll interface directly with clients to ensure robust performance under real-world conditions like compression and noise. This role offers the chance to work on cutting-edge AI security with a world-class team.

🎯 What You'll Do

• Design and optimize ML/DL models for production-scale audio deepfake detection.
• Interface with clients to understand production environments and define performance criteria.
• Investigate failure cases and implement mitigation strategies across Engineering and AI.
• Drive model tuning for robustness under compression, noise, telephony, and streaming.

📋 Requirements

• PhD in CS, ML, Signal Processing, or related field (or equivalent industry experience).
• 2+ years industry experience building and deploying ML/DL models for AI products.
• Strong programming in Python and ML frameworks like PyTorch or JAX.
• Solid understanding of audio processing fundamentals and classification/detection metrics.

✨ Nice to Have

• Experience in a client-facing or solutions-oriented AI role.
• Preference for candidates in EST time zone or willing to work from NYC office 1-2 days/week.

🎁 Benefits & Perks

• 🏥 100% healthcare premium coverage for employees.
• 🦷 Dental & Vision 100% premium coverage for employees and dependents.
• 📈 Equity compensation and 401k programs.
• 🏖️ 20 days PTO per year plus 12 weeks parental leave.
• 📚 Learning & Development budget and monthly wellness benefits.