Audio Machine Learning Engineer

Job Summary

Seeking an Audio Machine Learning Engineer II, the full-time remote position will focus on building, tuning, and deploying advanced audio deepfake detection models while ensuring their robustness and performance in real-world environments.

Key responsibilities

• Tune and optimize ML/DL models for production-scale audio deepfake detection
• Investigate failure cases and implement mitigation strategies for model robustness
• Drive model iteration for performance across diverse real-world environments

Required qualifications

• Master's or PhD in Computer Science, Machine Learning, Signal Processing, or related field
• Fresh PhD graduate or Master's with 3+ years of industry experience in ML/DL model deployment
• Strong programming skills in Python and familiarity with ML frameworks (PyTorch, JAX)
• Solid understanding of audio processing fundamentals and classification metrics
• Experience with large-scale training and benchmarking pipelines