Steg.AI develops AI-powered watermarking technology to protect and authenticate digital media. Our invisible watermarks are imperceptible to humans but robustly detectable by our proprietary models. Founded in 2019, we're an NSF- and investor-backed startup in Orange County, CA, with a team of 6 PhDs in computer vision.
We're hiring a Machine Learning Engineer to help push the frontier of AI for watermarking, steganography, and media provenance. You'll take state-of-the-art steganography models and own their journey to production — optimizing and deploying them on desktop and cloud platforms, serving as the link between research and customer-facing products.
Responsibilities: productionize novel steganography models, build inference pipelines, integrate models into cloud platforms, benchmark performance, and turn research into maintainable production code.
Required: PyTorch, ONNX export, experience deploying deep learning models to the cloud, Python and C/C++, strong cross-team communication.
Bonus: background in steganography/watermarking/media provenance, video/image codecs, MLOps tooling, CV/ML publications or open-source contributions.