Drimva

Thinking Machines Lab

Software Engineer, Privacy & Data Governance

$300K–$350K

San Francisco · On-site · Full-time · Posted Oct 27, 2026

Visa sponsorship
Visa sponsorship is available; success is not guaranteed.

About the job

Build and operate privacy and data-governance systems that control how data is collected, accessed, used, retained, and deleted across AI research and products.

What you'll do

  • Implement data classification, retention, deletion, and governance controls across internal systems.
  • Build isolation protections for customer and user data, including data used for Tinker fine-tuning and interface conversations.
  • Conduct privacy reviews and threat models, and translate legal and policy obligations into code, CI checks, and pipeline enforcement.

What they ask for

  • Built and operated at least one production privacy or data-governance system.
  • Written and operated production code in Python or a comparable language.
  • Direct experience enforcing privacy or governing data in an AI/ML pipeline, with a specific risk identified or mitigated.
  • Translated a legal or policy obligation into a technical requirement or control, and demonstrated pragmatic controls shipped.

Nice to have

  • Experience at an AI lab or with ML infrastructure, such as training-data curation, multi-tenant fine-tuning, or inference systems handling user data.
  • Implemented a privacy-enhancing technique in a real system, such as deidentification, differential privacy, or secure enclaves.

Pay

$300,000 - $350,000 USD (base salary)

Tools

Python, GDPR, CCPA, Tinker

AI focus

Privacy and data governance for AI training, fine-tuning, inference, evaluation, and products, including isolation, deletion, deidentification, and differential privacy.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)