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Description:
The Applied AI Engineer II (Audio) position is a full-time role based in New York City, with remote work options available for candidates located in the USA.
The role involves training and fine-tuning deep learning models in PyTorch based on new datasets and specific client requirements.
Responsibilities include monitoring model performance and ensuring quality assurance for deployed models.
The engineer will automate machine learning workflows and implement continuous integration/continuous delivery (CI/CD) for client-facing models.
The position requires adopting standard model optimization and compression methods to enhance inference speed.
The engineer will also implement model obfuscation and conduct vulnerability checks.
Collaboration with both AI and Engineering teams is essential for addressing model and infrastructure needs and providing performance guidance.
Requirements:
A Master's or PhD in Computer Science with a specialization in machine learning or deep learning is required.
Candidates must have at least 2 years of coding experience in Python, demonstrating strong programming skills.
A minimum of 2 years of industry experience in model training and fine-tuning using PyTorch is necessary.
Experience in fine-tuning large foundation models, such as wav2vec or HuBERT for downstream classification, is preferred.
Familiarity with automated testing and CI/CD concepts in machine learning workflows is required.
A strong foundation in machine learning and data science is essential.
Good communication and interpersonal skills are necessary, as the role involves client-facing responsibilities.
Benefits:
Reality Defender offers a dynamic work environment that fosters innovation and collaboration.
Employees will have the opportunity to work on cutting-edge technology in the field of AI-generated media detection.
The company emphasizes a privacy-first approach, ensuring compliance and data security.
Team members will be part of a research-forward organization that values best-in-class accuracy and real-time solutions.
The role provides opportunities for professional growth and development in a rapidly evolving industry.