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Research Intern, PhD or Master's (Contract)

Riot Games · Not provided by source

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Last seen by MeritLog September 9, 2026Source: GreenhouseSource version: greenhouse-job-board-v1

MeritLog read this listing from Riot Games's Greenhouse job board and last checked it on September 9, 2026.

Source: the employer's Greenhouse job board. Open the original listing for current details.

Job details

Work model
Not provided by source
Salary
Not listed by source
Location
Singapore

Hiring context

How this role compares at Riot Games

Riot Games has 141 live roles in MeritLog’s catalog across 10 job families, and 43 of them are in design. 0 of those listings publish a pay range, a disclosure rate of 0%.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd 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.
  • 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.
  • 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).
  • Mentorship from senior researchers and engineers.
  • Access to internal tools, datasets and compute for experimentation.

Parsed by MeritLog from the employer’s own posting. The full description follows below.

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.

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