Applied Scientist II

A company is looking for an Applied Scientist II (Audio) to build, tune, and deploy audio deepfake detection models. Key Responsibilities Tune and optimize ML/DL models for production-scale audio deepfake detection Investigate failure cases in client environments and implement mitigation strategies for model robustness Drive model iteration for performance under various real-world environments Required Qualifications 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 in ML/DL model deployment Strong programming skills in Python and ML frameworks (PyTorch, JAX) Solid understanding of audio processing fundamentals and model evaluation metrics Experience with large-scale training and benchmarking pipelines