Description review
Steg.AI | Machine Learning Engineer | Irvine, CA (Onsite) | Full Time
Steg.AI · Irvine, CA (Onsite) · back to the listing
HR standards
66/100
needs work
Title ↔ description
83/100
solid
Reads as
Machine Learning Engineer
100% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
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What the listing never says
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
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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.
To apply, send your resume to [email protected]
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.
To apply, send your resume to [email protected]