About this role
About the Role Riot's Singapore Efficiency team is exploring how Generative AI can power the next generation of creativity and game development. We leverage cutting-edge ML approaches to reimagine how art, animation, and design content are produced and enhanced across our games. We are seeking a passionate and skilled intern (PhD or Master's level) to join our R&D efforts. As a Generative AI Research Intern, you will explore foundational or applied challenges in generative modeling and contribute to building state-of-the-art systems that empower creatives. What You'll Do
- Investigate and prototype advanced generative models targeting creative pipelines.
- Collaborate with interdisciplinary stakeholders to ensure research aligns with real-world constraints and goals.
- Share results through internal demos, documentation, or technical writeups. What We're Looking For
- Currently pursuing a Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.
- Strong theoretical background in machine learning and generative modeling.
- Hands-on experience with PyTorch, TensorFlow, or JAX.
- Familiarity with diffusion and score-based generative models, flow matching, GANs, VAEs, and Transformers.
- Excellent communication and documentation skills. Nice to Have
- Experience with multimodal modeling, controllable generation, or diffusion-based frameworks.
- Interest in games, digital creativity tools, or player-facing applications.
- Publications or work in submission at top ML/AI/CV/CG conferences (NeurIPS, ICLR, CVPR, ICML, SIGGRAPH). Compensation & Benefits
- Mentorship from senior researchers and engineers.
- Access to internal tools, datasets and compute for experimentation.