Applied AI Engineer - Audio

November 24

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Deepfake Detection • Generative AI • GenAI • Cybersecurity

11 - 50 employees

🔐 Security

📱 Media

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