Reality Defender
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.
Deepfake Detection • Generative AI • GenAI • Cybersecurity
Applied AI Engineer - Audio
November 24, 2024
🇺🇸 United States – Remote
💵 $130k - $190k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🤖 AI Engineer
🦅 H1B Visa Sponsor
Reality Defender
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.
Deepfake Detection • Generative AI • GenAI • Cybersecurity
📋 Description
Train/finetune deep learning models in PyTorch on new datasets and per client requirements Model monitoring and quality assurance for deployed models ML workflow automation and continuous integration/continuous delivery (CI/CD) for client-facing models Adopt standard model optimization/compression methods for inference speed-up Implement model obfuscation and vulnerability checks Collaborate with both AI and Engineering teams for model/infrastructure needs and performance guidance
🎯 Requirements
Masters or PhD in Computer Science with specialization in machine learning/deep learning (ML/DL) 2+ years coding experience in Python; Strong programming skills required 2+ years industry experience with model training/finetuning in PyTorch [Preferred] Experience finetuning large foundation models, e.g. wav2vec, HuBERT for downstream classification Experience with automated testing and CI/CD concepts in machine learning workflow Strong foundation in machine learning and data science Good communication and inter-personal skills, comfortable with client-facing responsibilities
🏖️ Benefits
Offers Equity Offers Bonus
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