Forward Deployed Engineer, Data De-Identification (Co-op)

Tonic.ai has been de-identifying sensitive data since 2018, and hundreds of enterprises use our products, among them eBay, UnitedHealth Group, Qualcomm, Commonwealth Bank, and Mercor. Our newest line of business takes that work somewhere it hasn't gone before: company operating data.

That's this job. You'll be one of the first engineers dedicated to this business, working directly with our technical founders, data science team, and platform engineers, and getting close to the frontier AI labs that are the end buyers of this data.

What you'll do:

• Own the delivery of client de-identification projects, from the first look at the raw data to a dataset the client accepts.
• Run each corpus through our de-identification pipeline and check the output for accuracy: missed entities, wrong replacements, identities merged or split incorrectly, files that won't rebuild.
• Diagnose problems as they appear. Where you can, fix them for the whole solution or for the one case. Where you can't, understand the issue well enough to explain it clearly to the engineer who can.
• Rerun the pipeline, confirm the fix worked, then move on to the next step, which often includes working with our annotation team to validate quality.
• Build and adjust the ingestion and transformation steps that turn raw exports (mailboxes, chat archives, document dumps, ticketing systems, databases) into processed, ready-to-use datasets.
• Write code that gets merged, within the guardrails of our existing platform, including custom handling for client-specific one-offs.

Full details and application on the official Tonic.ai careers page.