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Software Engineer, Privacy & Data Governance

Thinking Machines Lab · San Francisco

Frontier labonsite$300k–$350k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build data inventory, retention, deletion, and audit systems from scratch.
  • Protect customer fine-tuning data and user conversations with isolation guarantees.
  • Tackle open privacy questions like deletion requests against trained models.

What they offer

  • Generous health, dental, and vision benefits
  • Unlimited PTO
  • Paid parental leave
  • Relocation support as needed

Ideal candidate

Privacy-obsessed engineer who treats governance as a building problem, not a checklist. You weigh privacy against velocity and quality to ship pragmatic, defensible controls.

Requirements

  • Built and shipped at least one production privacy or data governance system through to operation
  • Written and operated production code in Python or comparable language
  • Direct experience enforcing privacy or governing data in an AI/ML data pipeline
  • Chosen pragmatic controls over ideal ones on real systems
  • Written a technical requirement or control directly from a legal obligation such as GDPR or CCPA
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Lab profile

About Thinking Machines Lab

Builds frontier AI that extends human will and judgment through customizable models and interfaces.

What they build

  • Inkling frontier models
  • Tinker model customization
  • Human-AI communication interfaces

Known for

  • Frontier model training
  • Post-training and reinforcement learning
  • Evaluation infrastructure
  • GPU supercomputing and reliability
More about Thinking Machines Lab →
Apply on the lab’s site ↗

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