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2 дня назад

Working Student AI Data/Machine Learning Engineer (Gamedev)

Формат работы
remote
Тип работы
parttime
Грейд
trainee
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Working Student AI Data/Machine Learning Engineer (AI/ML): Building AI-native gameplay analytics and automated data workflows for the Empire franchise with an accent on player behavior insights and intelligent ETL pipelines. Focus on integrating modern AI tools like Claude and Cursor to optimize tracking validation and reporting systems.

Location: Fully Remote (Hamburg, Germany)

Company

hirify.global is a leading free-to-play online games developer focusing on web and mobile platforms with a global reach of over 500 million users.

What you will do

  • Build AI-driven gameplay analytics and AI-native data workflows across core game systems.
  • Process large-scale gameplay and player behavior datasets using modern AI tools.
  • Develop and improve ETL pipelines, tracking validation, and analytics systems using Claude, Cursor, and ChatGPT.
  • Create AI-assisted dashboards, funnels, monitoring systems, and reporting workflows.
  • Analyze player behavior data to support product, balancing, and monetization decisions.
  • Develop AI-powered personalization and offer systems.

Requirements

  • Currently enrolled in a degree program in Data Science, AI/ML, Mathematics, Analytics, Game Technology, or a related field.
  • Strong enthusiasm for AI-native workflows, automation, and emerging AI technologies.
  • Passion for gaming and interest in understanding player behavior and game systems.
  • Comfortable working with AI tools such as Claude, Cursor, and ChatGPT.
  • Analytical mindset with structured thinking and a curiosity for solving complex problems.
  • Basic understanding of data analytics, scripting, or technical workflows.

Nice to have

  • Experience with gameplay analytics, tracking systems, or ETL pipelines.
  • Experience building AI workflows, automations, agents, or personal AI projects.
  • Exposure to Python, SQL, or scripting.
  • Experience with cloud platforms such as Amazon Web Services (AWS).

Culture & Benefits

  • Opportunity to work at the frontier of AI-assisted game development.
  • Fast-moving, AI-driven environment focused on experimentation and innovation.
  • Diverse international culture with team members from more than 40 nations.
  • Part of a global gaming ecosystem under Stillfront.

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