Job Responsibilities:
1. Research Leadership & Strategy
- Establish and lead a research team in Singapore, focusing on cutting-edge research in game AI technologies.
- Define research directions in areas such as reinforcement learning, large language models (LLMs), vision-language models (VLMs), and intelligent agents for game scenarios.
- Develop and drive technical strategies to ensure research findings are effectively translated into game content production and player-facing features.
2.Research & Development
- Oversee the design and implementation of frameworks and toolchains for game agents, including data synthesis, automated evaluation systems, and related algorithms.
- Guide the team to produce high-quality academic outputs (e.g., top-tier conference papers, patents) as well as game application prototypes.
- Promote innovation and ensure that the team's work aligns with both business needs and long-term research goals.
3. Team & Collaboration
- Build and mentor a high-performing research team, fostering an environment of collaboration, innovation, and continuous learning.
- Drive cross-functional collaboration with game development, product, and global AI research teams, ensuring effective knowledge transfer and project integration.
- Represent the Singapore research team in global collaborations and industry/academic forums.
Job Requirements:
1. Education & Experience
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Possesses research or applied R&D experience in AI, with demonstrated leadership in managing teams or projects.
- Proven track record of publications, patents, or deployed systems in relevant areas such as reinforcement learning, game AI, NLP, CV, or large-scale models.
2. Technical Expertise
- Strong foundation in machine learning, reinforcement learning, deep learning, and agent-based systems.
- Proficiency in at least one programming language (Python, C++, Go) and experience with mainstream deep learning frameworks (TensorFlow, PyTorch).
- Familiarity with training paradigms and applications of large models (LLMs, VLMs), as well as methodologies for data construction and evaluation.
- Strong engineering capability to bridge research innovation and production implementation.
3. Leadership & Communication
- Demonstrated ability to lead and inspire research teams, set technical direction, and deliver results.
- Excellent communication, presentation, and stakeholder management skills in English.
- Ability to work collaboratively across multicultural and cross-functional teams.
- Proficiency in Mandarin will be a must, as it enables effective collaboration with China-based peers and stakeholders.
4. Personal Attributes
- Strong passion for gaming and AI innovation.
- High degree of initiative, adaptability, and curiosity to explore new frontiers.
- Commitment to excellence and integrity in both research and team leadership.
