Who Are We?

Ho Yoverse 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.
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Community is at the heart of everything we do. We are devoted to engaging fans and fostering an enthusiastic and inclusive global community that provides access and encouragement for people to share their passion for ACG (Animation, Comics, and Games) through their own creativity and skills.
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Pushing the boundaries of imagination, we consistently explore cutting-edge game development technologies, and have accumulated leading technical capabilities in cel shading, cloud gaming, and other fields.
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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.

When you apply to a position with Ho Yoverse, we will process your personal data. To learn more about how we process your data, we encourage you to review our comprehensive Global Applicant and Candidate Privacy Policy. This policy provides detailed insights into how your information is collected, used, and protected throughout the application process.

What You Will Do:

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.

What We Are Looking For:

• 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.

Pluses:

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

Benefits:

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.