Reinforcement Learning Infrastructure Engineer
HoYoverse
Reinforcement Learning Infrastructure Engineer
HoYoverse
Immersive free-to-play gaming with purchases
HoYoverse is committed to providing immersive virtual world experiences to players around the world. We have brought fans popular games including Genshin Impact, Honkai: Star Rail, Honkai Impact 3rd, Tears of Themis, and Zenless Zone Zero, as well as a wide range of entertainment content.
Community is at the heart of everything we do. We are devoted to engaging fans and fostering an enthusiastic and inclusive global community.
Pushing the boundaries of imagination, we consistently explore cutting-edge game development technologies.
In the future, we will continue to expand our content production, technology research, and publishing duties through operations in offices in Singapore, Montreal, Los Angeles, Tokyo, Seoul, and other areas.
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You will build and own the infrastructure foundation of our reinforcement learning framework, enabling RL-driven gameplay systems that can scale across current and future UE5 projects. This is a hands-on, hybrid role that sits between ML research and game/engine engineering. The focus is on turning research ideas into robust, deployable, production-ready systems that run inside real game environments.
You will:
Collaborate with the gameplay team to deliver machine learning and Al solutions that enhance the game experience on Varsapura, our upcoming flagship title.
Partner closely with gameplay engineers to prototype, optimize, and productionize reinforcement learning pipelines.
Take ownership of the technical roadmap for RL infrastructure, identifying bottlenecks and driving improvements in reliability, scalability, and iteration speed.
Deploy and operate learning agents in live or simulated UE-based environments, and optimize infrastructure for runtime inference.
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 Pytouch, Tensorflow.
Experience with distributed machine learning systems on cloud infrastructure.
Experience deploying and optimizing machine learning applications in production environments.
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
The base pay range for this position is $200,000 to $300,000 USD per year. Actual pay is based on location and may vary depending on relevant knowledge, skills, and experience from the candidate. Total compensation may include salary, company bonuses, sign-on bonuses, relocation package, and other benefits such as:
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
We are an equal opportunity employer that believes diverse backgrounds are key to bringing our concepts to life. If you're looking to play a key role in creating the best immersive virtual world experience for our users, we invite you to join our team.
HoYoverse creates immersive virtual world experiences and a broad portfolio of digital entertainment. Its core offerings are free-to-play online games such as Genshin Impact, Honkai Impact 3rd, Tears of Themis, and Honkai Star Rail, which run on platforms worldwide and monetize via in-game purchases like character skins and upgrades. Beyond games, HoYoverse develops desktop software (N0va Desktop) and runs HoYoLAB, a community platform that connects players. The company also expands its universe through animations, comics, music, novels, and merchandise built around its game concepts. This approach differs from others by integrating a large, interconnected media ecosystem that spans games, software, community, and cross-media content. The goal is to grow a global, engaged audience by delivering rich storytelling and visual experiences across multiple formats while generating revenue through ongoing in-game spending and diversified digital products.
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