Назад
1 день назад

Staff+ Software Engineer, Safeguards Data (AI)

320 000 - 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, Safeguards Data (AI): Building the data platform, pipelines, stores, schemas, and governance controls that power AI safety detection, evaluation, and review systems with an accent on data integrity, privacy, retention, access control, and cloud portability. Focus on operating distributed data infrastructure across AWS, GCP, and Azure, designing provider-agnostic systems for customer-managed environments, and supporting investigators, analysts, and researchers with internal tooling.

Location: San Francisco, CA or New York City, NY; hybrid policy requires staff to work from one of the offices at least 25% of the time

Annual salary: $320,000–$485,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.

What you will do

  • Build and operate the Safeguards data platform, including ingestion and processing pipelines, warehouses, data stores, schemas, and interfaces.
  • Operate safety systems reliably while reducing the manual effort required to maintain them.
  • Own data governance and integrity, including retention, access controls, privacy-preserving handling, lineage, and correctness guarantees.
  • Design portable systems that run across AWS, GCP, Azure, customer-managed environments, and other third-party infrastructure.
  • Partner with analysts, investigators, and researchers to build the internal tools supporting their work.

Requirements

  • Proficiency in Python and SQL.
  • Experience building and operating production data pipelines or data stores.
  • Ability to work across ingestion, storage, and data consumption layers.
  • Strong written and verbal communication skills, including explaining technical tradeoffs to non-specialists.
  • Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.

Nice to have

  • Extensive software engineering experience with data-intensive systems.
  • Experience with integrity, spam, fraud, or abuse detection and mitigation.
  • Experience building trust and safety detection or intervention mechanisms for AI or machine learning systems.
  • Experience with large-scale distributed data infrastructure and multiple cloud providers.
  • Experience with data governance in regulated or high-sensitivity domains.
  • Experience building custom internal tooling with operational teams.

Culture & Benefits

  • Collaborative work on large-scale AI research and safety efforts.
  • Flexible working hours and office collaboration.
  • Competitive compensation, equity donation matching, vacation, and parental leave.
  • Visa sponsorship is available, subject to role and candidate eligibility.
  • Immigration lawyer support is provided for sponsored visa applications.

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