realitydefender - Senior Applied AI Engineer (Audio)

• Design, build, and optimize ML/DL models for production-scale audio deepfake detection. • Interface with clients to build a deep understanding of the production environment and scope out model performance criteria. • Investigate failure cases in the client environment, build custom evaluation frameworks, and implement mitigation strategies that span across Engineering and AI. • Drive model tuning and iteration for performance under a variety of real-world environments, e.g. compression artifacts, noise, telephony, and streaming pipelines. • Design and execute structured experimentation roadmaps, centered around client requirements, anticipated future attack vectors, and proactive system resilience. • Collaborate with cross-functional partners (Applied Scientists, Deployment Engineers, Product teams) to deploy robust and scalable models. • Present technical findings and model performance insights to clients as well as internal stakeholders.