Who Are We?
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 that provides access and encouragement for people to share their passion for ACG (Animation, Comics, and Games) through their own creativity and skills.
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.
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 HoYoverse, 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:
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Conduct original research and develop deep distributed reinforcement learning (RL) training systems tailored for the complex gameplay features of Varsapura.
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Collaborate with cross-functional teams to understand the requirements of gameplay features and ensure machine learning algorithms are effectively integrated into the design.
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Take ownership of research project roadmaps, collaborating with engineers to iterate on feature requirements and managing risk for production deployment and maintenance.
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Explore and implement advanced techniques in asset processing to ensure high-quality and optimized assets for the game development cycle.
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Stay up to date with the latest advancements in machine learning, computer vision, and data compression, applying these technologies to improve the overall gaming experience.
What We Are Looking For:
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MS or PhD degree in Computer Science, Statistics, or a related field, or 8+ years of equivalent high-level research experience.
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Strong background in applied machine learning with an expertise on reinforcement learning algorithms
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Hands-on experience designing and developing reinforcement learning tasks from end to end; project experience involving 3D environments, complex action space and spatial reasoning is a strong plus.
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Proficiency in programming languages such as Python and C++, and expertise with deep learning frameworks such as PyTorch or TensorFlow.
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Experience working in game development with a strong understanding of gameplay systems, and real-time constraints.
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Familiarity with distributed training on cloud platforms such as AWS or GCP, including experience debugging performance and managing large-scale experiments.
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Solid knowledge of asset processing pipelines, including 3D modeling, texturing, and animation.
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Strong problem-solving skills and the ability to work effectively in a collaborative team environment.
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Record of publications or contributions to the machine learning and computer vision communities.
Benefits:
The base pay range for this position is $180,000 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.
