
Game AI Research Leader
2 days ago
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.
TensorFlow
Game Development
Management Skills
Leadership
Artificial Intelligence
Technical Direction
Data Synthesis
Strategy
PyTorch
Adaptability
Team Leadership
Publications
Bridge
Stakeholder Management
C++
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