Applied AI Engineer - (Audio)

June 3

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Award-Winning Deepfake Detection and Protection

Deepfake Detection • Generative AI • GenAI • Cybersecurity

11 - 50

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 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 but not required] 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 • Team player with a positive attitude and good communication skills.

Benefits

• $130K – $190K • Offers Equity • Offers Bonus