Staff AI Engineer, Audio

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Reality Defender (YC W22)

WebsiteLinkedInAll Job Openings

11 - 50 employees

🔐 Security

📱 Media

AI • Security • Media

Reality Defender is a company that provides multi-model and multimodal platforms for detecting AI-generated content. It offers services to enterprises, governments, and platforms to detect deepfakes and synthetic media across various modalities such as audio, video, images, and text. The solutions are designed to protect against the rapidly growing threat of AI-generated content used for fraud and disinformation. Reality Defender's tools are probabilistic, meaning they do not rely on watermarks or prior authentication to verify authenticity. The company focuses on industries like media, finance, and government to safeguard against AI-generated threats.

📋 Description

• Design, build, and optimize ML/DL models for production-scale audio deepfake detection, ensuring robustness across diverse real-world conditions including compression artifacts, noise, telephony, and streaming pipelines. • Partner with clients to develop a deep understanding of their production environments and define model performance criteria. • Investigate failure cases in client environments, build custom evaluation frameworks, and implement mitigation strategies spanning both Engineering and AI. • Design and execute structured experimentation roadmaps aligned with client requirements and proactive system resilience goals. Translate findings into clear and actionable insights. • Monitor, measure, and report on model performance in production using data analytics and AI observability tools (e.g. Datadog, Metabase). Identify degradation trends, data drift, and emerging threat patterns before they impact client outcomes. • Build and maintain dashboards and analytics pipelines that surface model health metrics, enabling data-driven decisions across AI, Engineering, and Product teams. • Collaborate with cross-functional partners — Applied Scientists, Deployment Engineers, and Product teams — to deploy scalable, production-grade models with clear performance benchmarks and monitoring in place.

🎯 Requirements

• PhD in Computer Science, Machine Learning, Signal Processing, or related field (or equivalent industry experience) • 2+ 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 • Proven experience with large-scale training and benchmarking pipelines • Prior experience in a client-facing or solutions-oriented AI role is a plus. • Preference for candidates comfortable with EST work hours.

🏖️ 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 PTO per year • 12 weeks of Parental Leave • Learning and Development budget • Monthly wellness benefits • Annual company-sponsored offsite