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5 дней назад

RL Infra Engineer (AI, GameDev)

200 000 - 300 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US, Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

RL Infra Engineer (AI, GameDev): Building and owning the infrastructure foundation for reinforcement learning frameworks, enabling scalable RL-driven gameplay systems for current and future UE5 projects. Focus on turning ML research ideas into robust, deployable, production-ready systems and optimizing infrastructure for runtime inference in real game environments.

Location: Hybrid role in Canada or United States

Salary: $200,000–$300,000 USD per year

Company

hirify.global is a product company committed to providing immersive virtual world experiences and popular games like Genshin Impact and Honkai: Star Rail to players worldwide.

What you will do

  • Build and own the infrastructure foundation of the reinforcement learning framework.
  • Enable RL-driven gameplay systems to scale across current and future UE5 projects.
  • Collaborate with the gameplay team to deliver machine learning and AI solutions for Varsapura.
  • Partner with gameplay engineers to prototype, optimize, and productionize reinforcement learning pipelines.
  • Take ownership of the technical roadmap for RL infrastructure, identifying and driving improvements.
  • Deploy and operate learning agents in live or simulated Unreal Engine-based environments, and optimize infrastructure for runtime inference.

Requirements

  • 8+ years of professional experience in software engineering, machine learning, or related technical roles.
  • Strong proficiency with Python and C++.
  • Experience with game development workflows, including debugging, profiling, and version control.
  • Solid understanding of deep neural network architectures and reinforcement learning concepts.
  • Experience with deep-learning frameworks such as PyTorch or TensorFlow.
  • Experience with distributed machine learning systems on cloud infrastructure and deploying ML applications in production environments.

Nice to have

  • MS or PhD in Computer Science, Mathematics, or a related technical field.
  • Experience with end-to-end RL workflows, from training to production deployment.
  • Experience working with Unreal Engine.
  • Experience with cross-functional collaboration in fast-moving engineering environments.

Culture & Benefits

  • 100% employer-paid healthcare premiums for you and your dependents.
  • Generous paid time off.
  • 401K / RRSP plan.
  • Employer-paid life and disability insurance.
  • Team-building activities throughout the year.
  • Flexible working hours.
  • Equal opportunity employer valuing diverse backgrounds.

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