realitydefender - Applied AI Engineer II (Audio)
Requirements
• 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 building and deploying ML/DL models for AI products. • Strong programming skills in Python and model ML frameworks (PyTorch, JAX). • Solid understanding of audio processing fundamentals, classification and detection metrics (ROC, DET curves, precision/recall trade-offs), model robustness and evaluation. • Experience with large-scale training and benchmarking pipelines, either in an academic or an industry research role.
Responsibilities
• Tune and optimize ML/DL models for production-scale audio deepfake detection. • Investigate failure cases in the client environment, build custom evaluation frameworks, and implement mitigation strategies for model robustness. • Drive model iteration for performance under a variety of real-world environments, e.g. compression artifacts, noise, telephony, and streaming pipelines. • Present technical findings and model performance insights to internal stakeholders. • Interface with Product and Engineering teams to build a deep understanding of the production environment and incorporate relevant evaluations for performance assessment.
Benefits
• Reality Defender offers the following benefits to all our employees, regardless of location: • 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 • 20 days of PTO per year • 12 weeks of Parental Leave • Learning and Development budget • Annual company-sponsored offsite • For employees working from Reality Defender’s HQ in NYC, we offer the following benefits: • Daily in-office lunch through UberEats • Remote Fridays • Happy Hours and other local events
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