Forward Deployed Engineer, Data De-Identification

📋 Description

• Own the delivery of client de-identification projects, from the first look at the raw data to a
• Run each corpus through our de-identification pipeline and check the output for accuracy: missed
• Diagnose problems as they appear. Where you can, fix them for the whole solution or for the one
• Rerun the pipeline, confirm the fix worked, then move on to the next step, which often includes
• Build and adjust the ingestion and transformation steps that turn raw exports (mailboxes, chat
• Write code that gets merged, within the guardrails of our existing platform, including custom

🎯 Requirements

• A bachelor's degree in a technical field (computer science, engineering, math, statistics, physics
• Several years of hands-on work in data engineering, backend engineering, or a
• Strong Python and SQL. Comfortable reading and debugging other people's code.
• Real experience with at least one major cloud (AWS, GCP or Azure): storage, compute, IAM
• Experience processing large volumes of unstructured and semi-structured data. You know what a PST
• A record of delivering complex projects on short timelines, measured in days and weeks.

🎁 Benefits

• You'll be early in a fast-growing business solving a problem the AI industry doesn't yet have a
• You'll work alongside technical founders, with a direct line from what you see in the field to what
• You'll get close to the frontier AI labs and build experience at the center of the training-data
• The work matters beyond any one deal: getting company data to labs without exposing the people in
• Competitive compensation and equity.