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7 часов назад

Principal AI/ML Engineer (Gamedev)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/Spain/Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Principal AI/ML Engineer (Gamedev): Building and scaling machine learning systems for mobile games with an accent on production automation, decision policies, and player modeling. Focus on driving end-to-end ML delivery, setting engineering standards, and operationalizing models that impact over 250 million monthly active users.

Location: Must be based in or able to work from Stockholm, London, or Barcelona

Company

A leading interactive entertainment company and creator of iconic mobile games like Candy Crush, part of the Microsoft family.

What you will do

  • Drive end-to-end ML delivery from problem framing and modeling to deployment and monitoring.
  • Build and maintain robust batch and streaming pipelines for training and inference.
  • Design offline and online evaluation strategies to optimize game performance and player experience.
  • Partner with cross-functional teams including data scientists, product managers, and designers.
  • Establish engineering best practices for ML, including reproducibility, observability, and documentation.
  • Provide technical leadership, coaching, and mentorship to team members.

Requirements

  • Proven track record delivering production ML systems in complex environments.
  • Strong software engineering skills in Python and modern ML frameworks like PyTorch or TensorFlow.
  • Experience building and operating data/ML pipelines at scale.
  • Solid understanding of experiment design, evaluation metrics, and measurement pitfalls.
  • Deep expertise in causal inference, contextual bandits, or reinforcement learning.
  • Strong operational mindset with experience in CI/CD, infrastructure-as-code, and monitoring.

Nice to have

  • Experience building ML tooling or platform capabilities.
  • Background in the gaming industry and understanding of player behavior.
  • Contributions to open source or community ML tooling.

Culture & Benefits

  • Work on ML problems that ship into real products at massive scale.
  • Influence ML strategy and adoption across multiple teams and domains.
  • Collaborate in a culture that values pragmatic engineering and principled measurement.
  • Part of a global organization with a playful mission and iconic game portfolio.

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