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14 часов назад

Engineering Intern (AI)

10 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
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
Engineering Intern (AI) (Next.js/Python): Building and scaling web and desktop data-capture workflows and high-throughput data infrastructure for foundation model development with an accent on full-stack engineering, cloud functions, and low-latency storage and search. Focus on architecting scalable pipelines, implementing heavy data processing with serverless systems, and shipping end-to-end projects with the founding engineering team.

Location: On-site in San Francisco, United States

Salary: $10,000 per month

Company

hirify.global is an applied research lab building data solutions and infrastructure for foundation model development.

What you will do

  • Build and scale data-capture workflows across web applications using Next.js and desktop applications using Python.
  • Architect and optimize high-throughput data pipelines handling heavy loads.
  • Collaborate with the founding team to define product strategy and ship features quickly.
  • Own engineering projects end to end and help establish engineering best practices.
  • Lay the groundwork for future engineering team growth.

Requirements

  • Able to take a gap semester off and work in person in San Francisco.
  • Proficiency in JavaScript, Next.js, and Python.
  • Demonstrated experience building full-stack web applications.
  • Experience with serverless architecture and cloud functions on GCP or AWS.
  • Hands-on experience with Redis, Elasticsearch, and message queues such as Kafka or RabbitMQ.
  • Experience taking ideas into production.

Nice to have

  • Background in AI research, LLM evaluation, or human-in-the-loop systems.
  • Founder experience.

Culture & Benefits

  • Work directly with the core engineering team, founding team, engineers, and researchers.
  • Own projects with visible impact on data infrastructure for frontier models.
  • Opportunity to shape the engineering organization and lead major technical initiatives as the company scales.
  • Meaningful equity and competitive compensation.

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