Applied Computer Vision Engineer
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 an Applied Computer Vision Engineer to take our state-of-the-art steganography models to production in our SDKs and cloud platform, and to extend them to new image and video formats. You won't train new models, but you'll build the scaffolding and features around them that boost watermarking performance, serving as the link between research and customer-facing products.
Responsibilities: productionize models with inference pipelines, extend watermarking to new file types and codecs, build image/video/audio pipelines, recover watermarks from transformed media, and benchmark quality and robustness.
Required: 3+ years of full-time industry experience in computer vision or image/video processing; Python, OpenCV, NumPy, ONNX/ONNX Runtime; traditional 2D/3D computer vision (feature matching, object detection, model estimation, optimization); image/signal processing; FFmpeg and video codecs (H.264/HEVC).
Bonus: C/C++, PyTorch, Pillow; steganography/watermarking/media provenance; MLOps tooling.
To apply, send your resume to [email protected]