Research Intern, PhD or Master's (Contract)

Riot Games; Singapore; On-site; SGD 30,000 - 50,000; Full time

Benefits offered by this job

Mentorship from senior researchers and engineers

Access to internal tools and datasets

Job summary

Riot Games in Singapore is looking for a passionate Generative AI Research Intern to join their Efficiency team. You will work on cutting-edge generative models to enhance creativity in game development and collaborate with various teams to tackle real-world challenges.

This position requires a Master's or PhD in relevant fields and strong skills in machine learning. Mentorship opportunities and access to internal tools will be provided for your growth.

Qualifications

• Pursuing a Master's or Ph.D. degree.
• Strong theoretical knowledge in machine learning and generative modeling.
• Hands-on experience with relevant frameworks.

Responsibilities

• Investigate and prototype advanced generative models.
• Collaborate with stakeholders to align research with goals.
• Share results through internal demos and documentation.

Skills

Machine Learning

Generative Modeling

PyTorch

TensorFlow

JAX

Education

Master's or PhD in Computer Science, Machine Learning, Statistics, or related field

Job description

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, 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 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 Skills

• 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 and score‑based generative models, flow matching, GANs, VAEs, and Transformers.
• Excellent communication and documentation skills.

Desired Skills

• 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).

Our Perks

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