Generative AI Research Intern (PhD or Master’s), Singapore Efficiency Team (Contract)

Established in 2020, Riot Singapore is a game development studio focused on delivering great experiences to our players. We partner with our Los Angeles headquarters and Riot Games offices around the world to develop games such as League of Legends, Valorant, Teamfight Tactics, and 2XKO. Riot Singapore is seeking talented, passionate Rioters to build games that make it better to be a player.

That’s where you come in.

At the Riot Singapore Efficiency team, we're pushing the frontiers of how Generative AI can power the next generation of creativity and game development. We leverage cutting-edge machine learning 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 (Contract), you will explore foundational or applied challenges in generative modeling and contribute to building state-of-the-art systems that empower creatives.

Please note that Riot Games does not offer relocation packages for this position. You need to be able to work legally in Singapore, without Riot Games’ sponsorship, to be considered.

Responsibilities

• Investigate and prototype advanced generative models (e.g., Diffusion, GANs, VAEs, Flow-Matching) 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.

Required Qualifications

• 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 models such as diffusion modes, Score-based Generative Models, GANs, VAEs, Transformers.
• Excellent communication and documentation skills.

Desired Qualifications

• Experience with multimodal modeling, controllable generation, or diffusion-based frameworks.
• Interest in games, digital creativity tools, or player-facing applications.
• Publications or ongoing research in top ML/AI/CV/CG conferences (NeurIPS, ICLR, CVPR, ICML, SIGGRAPH).

Our Perks

• Mentorship from senior researchers and engineers.
• Access to internal tools, datasets, and compute for experimentations.

Don’t forget to include a resume and cover letter. We receive a lot of applications, but we’ll notice a fun, well-written intro that shows us you take play seriously.