# Staff+ Software Engineer, Privacy

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA, New York, NY, Seattle, WA
**Role:** Security Engineering
**Salary:** $405k – $625k/yr
**Experience:** 15+ years
**Skills:** Python, Go, Differential Privacy, Federated Learning, Secure Multi-Party Computation, Homomorphic Encryption, Secure Enclaves, Threat Modeling, Data Governance, GDPR, CCPA
**Posted:** 2026-05-11

> Designs and implements privacy-preserving architectures for AI systems, builds privacy infrastructure, and leads threat modeling to protect user data at scale. Requires deep privacy engineering expertise, production systems experience in Python/Go, and familiarity with regulations like GDPR/CCPA.

## Job Description

## Responsibilities
- Design and implement privacy-preserving architectures for AI training and inference systems handling billions of conversations, leveraging **differential privacy**, **federated learning**, and **secure multi-party computation**.
- Partner with AI researchers to implement privacy-preserving training methodologies that maintain model quality while protecting user data.
- Build foundational privacy infrastructure including automated data discovery, classification, access controls, audit logging, and lifecycle management systems.
- Translate complex regulatory requirements (**GDPR**, **CCPA**, **HIPAA**, **EU AI Act**) into actionable technical implementations and automated compliance controls.
- Architect comprehensive data governance platforms for tracking data lineage, purpose limitation, and retention across distributed AI systems.
- Lead technical privacy reviews and threat modeling for new AI models and features, identifying risks and architecting scalable mitigations.
- Collaborate with product and infrastructure teams to embed privacy controls into Claude's inference systems, user interfaces, and data pipelines.
- Develop privacy engineering toolkits and frameworks that enable all engineers to build privacy-preserving features by default.
- Design and implement privacy-preserving analytics and measurement systems that provide insights while protecting individual user privacy.
- Research and evaluate emerging privacy technologies from academia and industry, contributing to open-source tools and AI privacy standards.
- Act as consultant and advocate for privacy best practices as central to our mission of AI safety.

## Requirements
- Deep expertise in privacy engineering principles: **privacy by design**, **data minimization**, **purpose limitation**.
- Strong programming skills in **Python**, **Go**, or similar languages with experience building production systems at scale.
- Experience with privacy-enhancing technologies (**differential privacy**, **homomorphic encryption**, **secure enclaves**).
- Proven track record of designing and implementing privacy infrastructure serving millions of users.
- Expertise in data governance, classification, and lifecycle management systems.
- Strong understanding of privacy regulations (**GDPR**, **CCPA**) and ability to translate legal requirements into technical solutions.
- Experience conducting privacy reviews, **threat modeling**, and risk assessments.
- **BS/MS** in Computer Science, Engineering, or equivalent practical experience.

## Nice-to-Haves
- 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure.
- 3+ years (not including internships or co-ops) of experience leading large scale complex projects or teams as a tech lead.

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