anthropic

Senior Software Engineer, Privacy

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At a Glance

Location
San Francisco, CA | New York City, NY | Seattle, Washington, United States
Posted
2026-03-19T13:15:48-04:00

Requirements

We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy:

Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Compensation & Benefits

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$320,000

$320,000 USD

Logistics

Responsibilities

As one of our first dedicated privacy engineers, you'll have an outsized impact in shaping how Anthropic builds world-class privacy into our AI systems from the ground up.

This is a seasoned individual contributor role where you'll provide technical and cultural leadership, architect innovative privacy-preserving systems, and drive implementation of cutting-edge privacy technologies across our AI infrastructure.

You'll work at the intersection of privacy engineering, AI safety, and distributed systems to solve novel challenges in protecting user data at scale.

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

About the Company

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

You might be a good fit if you:

8+ years of professional software engineering experience (not including internships and co-ops)

5+ years of experience focused on privacy, security, or data protection

Deep expertise in privacy engineering principles: privacy by design, data minimization, purpose limitation