Machine Learning Engineer - Steg.AI
Location: Irvine, CA (Onsite)
Type: Full Time
Source: Hacker News
About Steg.AI
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.
About the Role
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.
Requirements
- PyTorch proficiency.
- Experience with ONNX export.
- Experience deploying deep learning models to the cloud.
- Proficiency in Python and C/C++.
- Strong cross-team communication skills.
Bonus Qualifications
- Background in steganography, watermarking, or media provenance.
- Experience with video/image codecs.
- Experience with MLOps tooling.
- CV/ML publications or open-source contributions.
How to Apply
To apply, send your resume to careers@steg.ai.