Audio ML Engineer II

WHO WE ARE. Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media. Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time. Backed by world class investors including DCVC, Illuminate Financial, Y Combinator, Booz Allen Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients, financial institutions, and governments in order to ensure AI-generated media is not used for malicious purposes. Youtube: Reality Defender Wins RSA Most Innovative Startup https://www.youtube.com/watch?v=TKOZmwyNUNM THE AUDIO ML ENGINEER II ROLE. We are seeking an Audio ML Engineer II to build, tune, and deploy state-of-the-art audio deepfake detection models in real-world client environments. You will be responsible primarily for model tuning and deployment, ensuring robustness, reliability, and performance under diverse real-world test conditions — including adversarial and edge-case scenarios. The role requires deep hands-on expertise in model building, training, and benchmarking. WHAT YOU’LL DO - 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. WHO YOU ARE. - 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. WHAT WE OFFER. 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 - Equity compensation - 20 days of PTO per year - 12 weeks of Parental Leave - Learning and Development budget - Monthly wellness benefits - 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 - Commuter benefits - Remote Fridays - Happy Hours and other local events