Назад
Company hidden
45 минут назад

Software Engineer, Data Governance Team (AI)

129 960 - 246 240$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
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
Software Engineer, Data Governance Team (AI): Building high-scale privacy and AI safety platforms that govern data flows, model integrations, and compliance across a petabyte-scale ecosystem with an accent on distributed systems, real-time interception, and automated data lifecycle management. Focus on designing low-latency safety control planes, orchestrating LLM and classification models, implementing right-to-be-forgotten workflows, and delivering risk telemetry for recommendation systems.

Location: Seattle, United States; fully in-person schedule of up to 5 days per week

Salary: $129,960–$246,240 annually, with potential discretionary bonuses, incentives, and restricted stock units.

Company

hirify.global operates a data privacy and cybersecurity program designed to protect U.S. user data, applications, algorithms, and the content ecosystem.

What you will do

  • Design and scale platforms that orchestrate AI safety checks and produce auditable recommendation signals.
  • Build low-latency circuit breakers and middleware that enforce safety guardrails in recommendation paths.
  • Develop distributed systems for data inventory, lineage, residual scanning, and right-to-be-forgotten workflows.
  • Integrate toxicity classifiers, LLM evaluators, and other safety models into TikTok infrastructure.
  • Create observability dashboards and alerting engines for real-time safety and risk telemetry.

Requirements

  • Bachelor’s or Master’s degree in Computer Science or a related technical field.
  • At least 2 years of backend engineering experience with Go, Java, or C++, preferably Go.
  • Experience with high-volume data ecosystems such as Hive, Spark, Kafka, Flink, or Kubernetes.
  • Strong understanding of database design, SQL, and NoSQL internals, including physical data storage and deletion.
  • Ability to work onsite in Seattle, United States, up to 5 days per week.

Nice to have

  • Experience in privacy engineering, GDPR/CCPA compliance, or data governance.
  • Familiarity with data cataloging and lineage tools such as Apache Atlas or Amundsen.
  • Knowledge of encryption at rest and in transit and IAM frameworks.
  • Experience managing data deletion across large distributed systems.

Culture & Benefits

  • Medical, dental, and vision insurance from day one.
  • 401(k) savings plan with company match.
  • Paid parental leave, disability coverage, life insurance, and wellbeing benefits.
  • 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
  • Inclusive workplace with reasonable accommodations available during recruitment.

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