Privacy Engineer - Data Governance & Compliance

Thinking Machines Lab Inc.; San Francisco (CA); On-site; USD 300,000 - 350,000; Full time

Benefits offered by this job

Health benefits

Unlimited PTO

Parental leave

Relocation support

Job summary

Thinking Machines Lab Inc. in San Francisco, CA is seeking an engineer to own privacy and data governance across our systems—defining what we collect, where it is stored, who can access it, how long we keep it, and how it informs training, evaluation, and products.

You’ll build systems for classification, retention, deletion, and audit, collaborating with researchers and product engineers to answer privacy questions.

Qualifications

• Built and shipped at least one production privacy or data governance system, and owned it through to operation."
• Written and operated production code in Python or a comparable language, demonstrated by a runnable system."
• Direct experience with enforcing privacy in an AI/ML data pipeline and can describe a concrete privacy risk identified or mitigated."
• 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.

Responsibilities

• 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 data classifiers and integrating them across systems at Thinking Machines.
• 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 with our interfaces.
• Run privacy reviews and threat models on new data sources, training runs, and product features, and ship the control, the check, or the tooling.
• 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• Maintain shared libraries and guardrails that make the private path the default, and fix them when they break or fall out of date.

Skills

Production privacy system

Python production code

AI/ML privacy

Pragmatic controls

Legal obligations

Job description

Thinking Machines Lab Inc. in San Francisco, CA is seeking an engineer to own privacy and data governance across our systems—defining what we collect, where it is stored, who can access it, how long we keep it, and how it informs training, evaluation, and products.

You’ll build systems for classification, retention, deletion, and audit, collaborating with researchers and product engineers to answer privacy questions.