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Machine Learning Engineer - Remote Eligible

Optimize and deploy deep learning models for real-time AI-generated media detection.
RemoteNew York
Mid-Level
$160,000 - 200,000 USD / year
2 months ago

✨ About The Role

- The role involves optimizing deep learning models for deployment using frameworks like Pytorch, ONNX, and TensorRT. - Responsibilities include developing techniques for model quantization and compression to enhance performance. - The engineer will collaborate with AI researchers and developers to integrate performance optimization techniques into production systems. - Analyzing and improving existing model architectures for better efficiency and performance is a key task. - The position requires interfacing with the production engineering team for assistance with on-prem deployments.

⚡ Requirements

- A bachelor's or master's degree in Computer Science, Electrical Engineering, or a related field is essential for this role. - The ideal candidate will have experience implementing modern deep learning architectures such as transformers and CNNs. - Strong software development skills are necessary to succeed in this position. - Familiarity with machine learning frameworks like PyTorch, ONNX, and TensorRT is crucial. - Candidates should have at least 2 years of industry experience preparing machine learning models for production.
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Machine Learning Engineer - Remote Eligible
RemoteNew York
$160,000 - 200,000 USD / year
Engineering
About Reality Defender
Enterprise Deepfake Detection