Audio ML Engineer II

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Tune and enhance ML/DL models for production-scale audio deepfake detection.

• Analyze failure cases within the client environment, develop custom evaluation frameworks, and implement strategies to improve model robustness.

• Lead model iterations to ensure performance across various real-world conditions, such as compression artifacts, noise, telephony, and streaming pipelines.

• Share technical findings and insights on model performance with internal stakeholders.

• Collaborate with Product and Engineering teams to gain a comprehensive understanding of the production environment and integrate relevant evaluations for performance assessment.

⛳️ Requirements

• Master’s or PhD in Computer Science, Machine Learning, Signal Processing, or a related field.

• Recent PhD graduate, or a Master’s degree holder with over 3 years of industry experience in building and deploying ML/DL models for AI products.

• Proficient programming skills in Python and familiarity with ML frameworks such as PyTorch and JAX.

• Strong grasp of audio processing fundamentals, classification and detection metrics (ROC, DET curves, precision/recall trade-offs), along with model robustness and evaluation techniques.

• Experience with large-scale training and benchmarking pipelines, whether in academic or industry research settings.

🏝️ Benefits

• Healthcare plans with 100% premium coverage for employees and partial coverage available for dependents.

• Dental and Vision plans with 100% premium coverage for employees and their dependents.

• Short/Long-term disability and life insurance plans with 100% premium coverage for employees.

• FSA/HSA and 401k programs.

• Equity compensation.

• 20 days of paid time off per year.

• 12 weeks of Parental Leave.

• Budget for Learning and Development.

• Monthly wellness benefits.

• Annual company-sponsored offsite.