Applied AI Engineer (Audio)

Reality Defender - New York City, NY

- Mid Level

New York City, NY

Publishing Industries

About the position

Reality Defender provides accurate, multi-modal AI-generated media detection solutions to enable enterprises and governments to identify and prevent fraud, disinformation, and harmful deepfakes in real time. A Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, and backed by DCVC, Reality Defender is the first company to pioneer multi-modal and multi-model detection of AI-generated media. Our web app and platform-agnostic API built by our research-forward team ensures that our customers can swiftly and securely mitigate fraud and cybersecurity risks in real time with a frictionless, robust solution.

Responsibilities

• 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
• 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

Nice-to-haves

• Experience finetuning large foundation models, e.g. wav2vec, HuBERT for downstream classification