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