Machine Learning Engineer

About the role

The role takes deep learning models for steganography and watermarking from research to production, optimizing and deploying them on desktop and cloud platforms. It involves building inference pipelines, benchmarking performance, and translating research into maintainable code while working across research and engineering teams. Candidates need PyTorch and ONNX export experience, Python skills, and hands-on experience deploying models to the cloud.