🛠 Tech Stack

💼 About This Role

You'll build and deploy audio deepfake detection models for a leading cybersecurity company. You'll tune models and investigate failure cases to ensure robustness in real-world conditions. This role offers the chance to work on cutting-edge AI security.

🎯 What You'll Do

• Tune and optimize ML/DL models for audio deepfake detection
• Investigate failure cases and build custom evaluation frameworks
• Iterate models for performance under noise and compression artifacts
• Present technical findings to internal stakeholders

📋 Requirements

• Master's or PhD in CS, ML, or Signal Processing
• 3+ years industry experience building and deploying ML/DL models
• Strong Python programming with PyTorch or JAX
• Solid understanding of audio processing and classification metrics

✨ Nice to Have

• Experience with large-scale training pipelines
• Background in adversarial robustness
• Familiarity with streaming pipelines

🎁 Benefits & Perks

• 🏖️ 20 days PTO per year
• 🏥 100% premium healthcare coverage for employees
• 📈 Equity compensation
• 👶 12 weeks parental leave
• 💰 Learning and Development budget