Data support Engineer

Unreal/Unity &Data Support Engineer

Responsibility:

The AI Application & Data Support Engineer plays a key role in bridging advanced AI technologies and real-world game applications. You will work closely with our core AI research and engineering teams to support the development, testing, and deployment of cutting-edge AI systems in gaming scenarios, including Human Motion Capture/Generation, 3D Object/Scene Generation, Video Generation, and AI Bots.

Key Responsibilities:

- Game Client Development: Implement and integrate AI functionalities into demo or prototype environments using commercial engines such as Unreal Engine (UE) or Unity, ensuring smooth interaction and visualization for in-game AI features.

- Batch Testing & Automation: Conduct large-scale, systematic testing of AI features and tools; design and maintain automated testing pipelines to evaluate stability, performance, and user experience.

- Data Processing & Tool Development: Develop and optimize batch-processing algorithms for large-scale data workflows, including data conversion, filtering, and validation. Build or maintain internal tools for data annotation and visualization.

- Annotation & Quality Assurance: Participate in data labeling tasks for 3D models, human motion, or video content; ensure annotation accuracy and consistency following strict project guidelines.

- Cross-functional Collaboration: Work collaboratively with AI researchers, data engineers, and artists to identify problems, provide technical feedback, and continuously improve workflows across the AI production pipelineRequirement:

Education: Bachelor's degree or above in Computer Science, Software Engineering, Game Development, or a related technical field.

Essential Skills:

- Strong programming ability in one or more of the following languages: Python, C++, or C#.

- Familiarity with Unreal Engine or Unity development environments.

- Fluency in both Chinese and English (spoken and written) is required for effective communication with cross-region teams.

-Excellent problem-solving, collaboration, and self-learning skills.

Preferred Experience (Plus but not required):

- Experience with AI data pipelines, such as data preprocessing, labeling, or evaluation.

- Background knowledge in Computer Vision, Machine Learning, or Graphics Programming.

- Prior experience in game development, prototyping, or AI demo integration.

- Passion for games and curiosity about the intersection of AI and interactive entertainment.

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