Research Intern, PhD or Master's (Contract) at Riot Games

<p>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.</p> <p>We are seeking a passionate and skilled intern (PhD or Master's level) to join our R&amp;D efforts. As a <strong>Generative AI Research </strong>Intern, you will explore foundational or applied challenges in generative modeling and contribute to building state-of-the-art systems that empower creatives.<br><br><em><strong>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.</strong></em></p> <h2>Responsibilities:</h2> <ul> <li>Investigate and prototype advanced generative models targeting creative pipelines.</li> <li>Collaborate with interdisciplinary stakeholders to ensure research aligns with real-world constraints and goals.</li> <li>Share results through internal demos, documentation, or technical writeups.</li> </ul> <h2>Required Skills:</h2> <ul> <li>Currently pursuing a Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.</li> <li>Strong theoretical background in machine learning and generative modeling.</li> <li>Hands-on experience with PyTorch, TensorFlow, or JAX.</li> <li>Familiarity with models such as diffusion and score-based generative models, flow matching, GANs, VAEs, and Transformers.</li> <li>Excellent communication and documentation skills.</li> </ul> <h2>Desired Skills:</h2> <ul> <li>Experience with multimodal modeling, controllable generation, or diffusion-based frameworks.</li> <li>Interest in games, digital creativity tools, or player-facing applications.</li> <li>Publications or work in submission at top ML/AI/CV/CG conferences (NeurIPS, ICLR, CVPR, ICML, SIGGRAPH).</li> </ul> <h2>Our Perks:</h2> <ul> <li>Mentorship from senior researchers and engineers.</li> <li>Access to internal tools, datasets and compute for experimentation.<br><br></li> </ul>