Remote Applied AI Engineer (Core)

Description:

• The Applied AI Engineer (Core) 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 optimizing deep learning models for deployment using frameworks such as Pytorch, ONNX, and TensorRT.
• Responsibilities include developing and implementing techniques for model quantization and compression to reduce memory footprint and increase inference speed.
• The engineer will also develop techniques for model obfuscation and secure deployments.
• Collaboration with AI researchers and developers is essential to integrate advanced performance optimization techniques into production systems.
• The engineer will analyze and improve existing model architectures for better efficiency and performance.
• 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 required.
• Candidates must have experience implementing modern deep learning architectures, including transformers and CNNs.
• Experience in compiling model inference code for deployment is necessary.
• Strong software development skills are essential for this role.
• Familiarity with machine (deep) learning frameworks such as PyTorch, ONNX, and TensorRT is required.
• A minimum of 2 years of industry experience in preparing ML models for production is expected.

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 performance.
• The role provides a chance to contribute to meaningful solutions that combat fraud and disinformation in real time.