Remote AI Engineer - Core

Description:

• Reality Defender is seeking an AI Engineer to optimize deep learning models for deployment using Pytorch, ONNX, TensorRT, and other relevant frameworks.
• The role involves developing and implementing techniques for model quantization and compression to reduce memory footprint and increase inference speed.
• Responsibilities include developing techniques for model obfuscation and secure deployments, collaborating with AI researchers and developers to integrate performance optimization techniques, and analyzing and improving existing model architectures.
• The AI Engineer will also interface with the production engineering team for assistance with on-prem deployments.

Requirements:

• The ideal candidate should have a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• They should possess experience in implementing modern deep learning architectures such as transformers and CNNs.
• Candidates must have experience compiling model inference code for deployment and strong software development skills.
• Strong familiarity with machine (deep) learning frameworks like PyTorch, ONNX, and TensorRT is required.
• A minimum of 2 years of industry experience preparing ML models for production is necessary.

Benefits:

• Full-time remote position available for candidates located in the USA.
• Opportunity to work with a groundbreaking security platform specializing in deepfake detection.
• Chance to collaborate with a leadership team with over 20 years of experience in applied research at the intersection of machine learning, data science, and cybersecurity.
• The role offers the chance to defend against present and future fabrication techniques, partnering with government agencies and enterprise clients to enhance security and detect fraud.