Software Engineer, Privacy & Data Governance

Job summary

Responsibilities

The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication.

• Implement and enforce privacy and data governance across internal systems day to day by building systems like data classification tagging, retention jobs, deletion pipelines, and…
• Build the isolation guarantees that keep customer and user data separate and protected, including the training data customers bring to Tinker and the conversations people have…
• Run privacy reviews and threat models on new data sources, training runs, and product features, and close them out by shipping the control, the check, or the tooling, not only a…
• Translate legal and policy requirements (GDPR, CCPA, contractual commitments) into working code: policy-as-code, CI checks, and pipeline enforcement, built and maintained by you.
• Maintain shared libraries and guardrails that make the private path the default, and fix them when they break or fall out of date.

What they're looking for

• Built and shipped at least one production privacy or data governance system (retention/deletion pipeline, policy evaluation engine, data cataloging and/or lineage system, consent…
• Written and operated production code in Python or a comparable language, evidenced by a system you can walk through in detail: what it does, how it fails, how you debugged it.
• Direct experience with enforcing privacy or governing data in an AI/ML data pipeline (training data, fine-tuning, inference, or evaluation) and can describe a specific privacy…
• Has chosen pragmatic controls over ideal ones on real systems, and can describe what was shipped as a result.
• Has written a technical requirement or control directly from a legal or policy obligation (GDPR, CCPA, or similar), and can name the obligation and the control.

Tech stack

• Python