RL Infra Engineer for Immersive UE5 Titles

Hoyoverse; Los Angeles (CA); Hybrid; USD 200,000 - 300,000; Full time

Benefits offered by this job

Healthcare (employer-paid)

Paid time off

401K / RRSP plan

Life and disability insurance

Team-building activities

Flexible working hours

Job summary

HoYoverse seeks an experienced ML/game-tech engineer in Los Angeles to build and own the reinforcement learning infrastructure for UE5 projects. This hands-on, hybrid role sits between ML research and game/engine engineering.

You will collaborate with gameplay teams to prototype, optimize, and productionize RL pipelines, and drive the technical roadmap for scalable, reliable runtime inference inside live game environments.

Qualifications

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

Responsibilities

• Build and own the infrastructure foundation of our RL framework for UE5 projects.
• Collaborate with gameplay engineers to prototype, optimize, and productionize RL pipelines.
• Take ownership of the RL infra technical roadmap, driving reliability and scalability.
• Deploy and operate learning agents in live or simulated UE-based environments.

Skills

Python

C++

Game development workflows

Deep learning

Reinforcement learning

Distributed ML

Production ML

Education

MS degree

PhD degree

Tools

Unreal Engine

TensorFlow

PyTorch

Job description

HoYoverse seeks an experienced ML/game-tech engineer in Los Angeles to build and own the reinforcement learning infrastructure for UE5 projects. This hands-on, hybrid role sits between ML research and game/engine engineering.

You will collaborate with gameplay teams to prototype, optimize, and productionize RL pipelines, and drive the technical roadmap for scalable, reliable runtime inference inside live game environments.