Machine Learning Engineer, Reality Defender

• 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

• 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

Reality Defender was born out of The AI Foundation to help protect the 2020 US Elections from the threat of deepfakes. It officially launched as a company in 2021, based in New York. Today there continues to be a genuine issue where the public cannot decipher what is true or false online due to the existence of easily-created deepfakes.