Reality Defender is hiring an Audio ML Engineer II to help build cutting-edge AI systems that detect deepfakes and AI-generated media used in fraud, disinformation, and malicious digital attacks.This is an exciting opportunity for engineers passionate about machine learning, cybersecurity, audio processing, and AI safety while working on technology trusted by enterprises and governments worldwide.What you will do:Build, tune, and optimize machine learning and deep learning models for audio deepfake detectionDeploy production-scale detection models in real-world client environmentsInvestigate model failure cases and improve system robustness against adversarial attacksDevelop evaluation frameworks and mitigation strategies for edge-case scenariosImprove model performance across noisy environments, streaming systems, compression artifacts, and telephony pipelinesPresent technical findings and performance insights to internal teamsCollaborate closely with Product and Engineering teams to improve production deploymentWhat we are looking for:Master’s or PhD in Computer Science, Machine Learning, Signal Processing, or related fieldFresh PhD graduate or Master’s degree holder with 3+ years of ML industry experienceStrong programming skills in PythonHands-on experience with ML frameworks such as PyTorch and JAXStrong understanding of audio processing fundamentals and deep learning systemsExperience with model evaluation metrics including ROC, DET curves, and precision/recall trade-offsExperience building large-scale training and benchmarking pipelinesWhy this role stands out:Work on cutting-edge AI security and deepfake detection technologyCollaborate with enterprises, financial institutions, and government organizationsEquity compensation opportunitiesHealthcare plans with 100% employee premium coverageDental and Vision plans fully covered for employees and dependents12 weeks paid parental leaveLearning and Development budget for continuous growthMonthly wellness benefitsRequirements:Master’s or PhD in Computer Science, Machine Learning, Signal Processing, or related fieldExperience building and deploying ML/DL models for AI productsStrong Python programming skillsExperience with PyTorch or JAX frameworksKnowledge of audio processing, classification metrics, and model evaluationExperience with large-scale model training and benchmarking pipelinesApply here : https://lnkd.in/ehVQ-CcHKnow an ML Engineer or AI researcher looking for an exciting remote opportunity? Share this role.

Audio ML Engineer II

Emma

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