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Staff AI/Machine Learning Engineer
Tonic.ai · Remote · Posted 97 days ago
About Tonic
Tonic builds the data infrastructure behind modern AI. We generate the synthetic environments that agents are trained and tested in, and we de-identify real enterprise data so it can be used safely in training and evaluation. Eight years in, we work with frontier AI labs pushing the edge of what models can do, and with hundreds of enterprises including Fidelity, Comcast, eBay, and Vanguard, on the data problems that sit at the center of where AI is going next.
About The Role
The models you build here are load-bearing. The environments you generate decide whether an agent is ready to ship or only looked good in a demo. The synthesis and de-identification models you train decide whether a bank can safely put its data near a model at all. And the work spans real range: in one week you might build evaluation that separates the best models from the rest on real tasks, train a synthesis model where both fidelity and downstream utility have to hold, and improve entity detection on messy production data. Real enterprise data, real stakes, and problems that don’t have textbook answers yet.
What You'll Do
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This role is one of 84 Machine Learning Engineer openings in Remote and centers on Machine Learning, Production ML Systems, Pytorch, and Model Training. There are a handful of open roles at Tonic.ai right now.
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