
11 - 50 employees
đ Security
đ± Media
AI âą Security âą 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.
đ„ 17 hours ago
đ Anywhere in the World
đ” $160k - $210k / year
â° Full Time
đĄ Mid-level
đ Senior
đ€ Machine Learning Engineer
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11 - 50 employees
đ Security
đ± Media
AI âą Security âą 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.
âą Tune and optimize ML/DL models for production-scale audio deepfake detection. âą Investigate failure cases in the client environment, build custom evaluation frameworks, and implement mitigation strategies for model robustness. âą Drive model iteration for performance under a variety of real-world environments, e.g. compression artifacts, noise, telephony, and streaming pipelines. âą Present technical findings and model performance insights to internal stakeholders. âą Interface with Product and Engineering teams to build a deep understanding of the production environment and incorporate relevant evaluations for performance assessment.
âą Masterâs or PhD in Computer Science, Machine Learning, Signal Processing, or related field âą Fresh PhD graduate, or Masters with 3+ years of industry experience building and deploying ML/DL models for AI products âą Strong programming skills in Python and model ML frameworks (PyTorch, JAX) âą Solid understanding of audio processing fundamentals, classification and detection metrics (ROC, DET curves, precision/recall trade-offs), model robustness and evaluation âą Experience with large-scale training and benchmarking pipelines, either in an academic or an industry research role.
âą Healthcare plans with 100% premium coverage for employees and partial coverage available for dependents âą Dental and Vision plans with 100% premium coverage for employees and their dependents âą Short/Long-term disability and life insurance plans with 100% premium coverage for employees âą FSA/HSA and 401k programs âą Equity compensation âą 20 days of PTO per year âą 12 weeks of Parental Leave âą Learning and Development budget âą Monthly wellness benefits âą Annual company-sponsored offsite
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