Software Engineer, Privacy & Data Governance
Thinking Machines Lab2 days ago
Base Salary
$300k - $350k/yr
Responsibilities
- Build and operate data classification, retention, deletion, and data-governance systems across company systems.
- Build isolation guarantees for customer training data on Tinker and user conversations with company interfaces.
- Run privacy reviews and threat models for data sources, training runs, and product features, then ship the resulting controls, checks, or tooling.
- Translate GDPR, CCPA, and contractual requirements into policy-as-code, CI checks, and pipeline enforcement.
- Maintain shared privacy libraries and guardrails that make privacy-preserving behavior the default.
Requirements
- Must have built and operated at least one production privacy or data-governance system, such as a retention or deletion pipeline, policy evaluation engine, data catalog or lineage system, or consent system.
- Must have written and operated production code in Python or a comparable language.
- Must have direct experience enforcing privacy or governing data in an AI/ML data pipeline involving training data, fine-tuning, inference, or evaluation.
- Must be able to describe pragmatic privacy controls shipped in real systems and technical controls derived from legal or policy obligations such as GDPR or CCPA.
- Preferred qualifications include AI lab or ML infrastructure experience, privacy-enhancing techniques such as deidentification, differential privacy, or secure enclaves, data lineage or policy tooling, large-scale deletion or retention systems, and security engineering or access-control experience.
- Experience as an early engineer building a privacy function and personally implementing its systems is preferred.
Benefits
- Generous health, dental, and vision benefits.
- Unlimited paid time off and paid parental leave.
- Relocation support as needed.
- Based in San Francisco, California.
- Annual base salary range of $300,000-$350,000 USD.
- Visa sponsorship is available, with the company committed to working through the visa process for the right fit.
About Thinking Machines Lab
Thinking Machines Lab develops AI and generative AI software and conducts applied research to help organizations make data-driven decisions. The company builds products and data science solutions for enterprise use cases, pairing foundational models with practical tooling and services across industries. It is privately held and headquartered in San Francisco.