Machine Learning Engineer
STEG
Steg.AI | Machine Learning Engineer | Irvine, CA (Onsite) | Full Time 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 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. Contact: View email address on click.appcast.io #J-18808-Ljbffr
Vacancy posted 1 day ago
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