Principal AI/ML Engineer (Gamedev)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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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