Machine Learning Engineer

Posted yesterday

stegaiIrvine (CA)

SENIORITY

Lead

Apply

About the role

Steg. AI | Machine Learning Engineer | Irvine, CA (Onsite) | Full TimeSteg. 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: careers@steg.ai

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this