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Staff+ Software Engineer, Privacy (AI)

405 000 - 485 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Staff+ Software Engineer, Privacy (AI): Designing and implementing privacy-preserving architectures for AI training and inference systems, handling billions of conversations with an accent on differential privacy, federated learning, and secure multi-party computation. Focus on translating complex regulatory requirements into actionable technical implementations and automated compliance controls, and researching emerging privacy technologies.

Location: San Francisco, CA; New York City, NY; Seattle, WA. Expect to be in one of our offices at least 25% of the time.

Salary: $405,000 - $485,000 USD

Company

hirify.global’s mission is to create reliable, interpretable, and steerable AI systems, ensuring AI is safe and beneficial for users and society.

What you will do

  • Design and implement privacy-preserving architectures for AI training and inference systems.
  • Partner with AI researchers to implement privacy-preserving training methodologies.
  • Build foundational privacy infrastructure including automated data discovery, classification, and access controls.
  • Translate complex regulatory requirements into actionable technical implementations and automated compliance controls.
  • Lead technical privacy reviews and threat modeling for new AI models and features.
  • Develop privacy engineering toolkits and frameworks that enable all engineers to build privacy-preserving features by default.

Requirements

  • 10+ years of professional software engineering experience.
  • 5+ years of experience focused on privacy, security, or data protection.
  • 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.
  • Strong understanding of privacy regulations (GDPR, CCPA) and ability to translate legal requirements into technical solutions.
  • BS/MS in Computer Science, Engineering, or equivalent practical experience.

Culture & Benefits

  • Competitive compensation and benefits.
  • Optional equity donation matching.
  • Generous vacation and parental leave.
  • Flexible working hours.
  • Lovely office space in which to collaborate with colleagues.

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