Senior Privacy Engineer for AI Systems

Anthropic Limited

San Francisco (CA)

Presencial

USD 405.000 - 485.000

Jornada completa

Hace 6 días
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Ventajas ofrecidas por este puesto de trabajo

Competitive compensation
Equity donation matching
Generous vacation
Parental leave
Flexible hours
SF office

Descripción de la vacante

Anthropic is hiring a Privacy Engineer to establish and lead privacy engineering within the Data Infrastructure team. You will architect privacy-preserving systems, lead the implementation of privacy-enhancing technologies, and provide technical leadership across engineering, research, and product.

This senior role involves working at the intersection of privacy, AI safety, and distributed systems, with high autonomy and broad influence in shaping privacy by design.

Formación

  • Experience applying privacy engineering in production systems.
  • Ability to translate GDPR/CCPA/HIPAA into technical designs.
  • Strong communication across engineering, research, and product teams.

Responsabilidades

  • Design privacy-preserving architectures for AI training and inference at scale.
  • Lead privacy reviews and threat modeling for new models and features.
  • Build privacy infrastructure: data discovery, access controls, auditing, lifecycle management.
  • Translate regulatory requirements into automated compliance controls.
  • Embed privacy controls into AI systems, pipelines, and interfaces.
  • Develop privacy toolkits and contribute to open-source tooling.

Conocimientos

Privacy engineering
Python/Go
Production systems
Data governance
Distributed systems
Regulatory knowledge
Threat modeling
Cross-functional collaboration

Descripción del empleo

Anthropic is hiring a Privacy Engineer to establish and lead privacy engineering within the Data Infrastructure team. You will architect privacy-preserving systems, lead the implementation of privacy-enhancing technologies, and provide technical leadership across engineering, research, and product.

This senior role involves working at the intersection of privacy, AI safety, and distributed systems, with high autonomy and broad influence in shaping privacy by design.

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