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Infrastructure Engineer (AI)

180 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Infrastructure Engineer (AI): Building and operating development, production, training, and inference infrastructure for a data curation platform with an accent on multi-cloud support, deployment models, reliability, and security. Focus on architecting scalable systems, debugging networking and hardware issues, and enabling researchers and engineers to deliver new machine learning capabilities.

Location: San Mateo, CA, United States; in-office 4 days a week. Relocation assistance is available for employees moving to the Bay Area.

Salary: $180,000–$300,000 per year, plus meaningful equity.

Company

hirify.global develops an AI data curation suite that optimizes large-scale training data for machine learning models.

What you will do

  • Design and build development and production platforms that support reliable and secure products at scale.
  • Architect, build, and deploy core infrastructure across multiple cloud providers and deployment models.
  • Develop data infrastructure capabilities, including training and inference infrastructure.
  • Build tooling and systems that improve engineering productivity and developer experience.
  • Partner with researchers and engineers to bring new product features and research capabilities to customers.
  • Work with founders on product direction and business-critical technical decisions.

Requirements

  • 4+ years of relevant infrastructure engineering experience.
  • Meaningful experience leading and constructing large-scale infrastructure.
  • Proficiency in Bash, Kubernetes, Python, and/or Terraform or similar technologies.
  • Experience with AWS, other cloud platforms such as Azure or GCP, and/or on-premises environments.
  • Ability to debug networking, performance, hardware, memory, and other cross-stack issues.
  • Ability to work in the San Mateo office 4 days per week.

Nice to have

  • Experience building data infrastructure from or nearly from scratch at a fast-growing startup.
  • Experience building ML/DL infrastructure or data infrastructure for training large machine learning models.

Culture & Benefits

  • 100% covered medical, vision, and dental benefits.
  • 401(k) plan with a 4% company match.
  • Unlimited paid time off.
  • 12 weeks of paid parental leave and 6 months of work-from-home flexibility.
  • Annual $2,000 wellness stipend and $1,000 learning and development stipend.
  • Daily lunches and snacks are provided in the office.

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