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Riot Games

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Staff Machine Learning Engineer, 3D - Singapore Efficiency Team

Summary

Build AI-powered 3D tools to automate tedious modeling steps like retopology and texturing, enabling artists to work faster while maintaining game-ready quality.

Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played PC game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience.

We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints.

That's where you come in.

Riot’s Singapore Efficiency team builds the technology that lets our creative teams do their best work. In 3D, the path from a modeler’s idea to a game-ready asset is full of slow, technical steps such as cleanup, retopology, UVs, and LODs, and that is exactly where we focus our effort. You will be reporting to the Senior Manager, Machine Learning Engineer.

As a Staff Machine Learning Engineer, 3D, you’ll build tools that compress the tedious, technical parts of the 3D pipeline so modelers and environment artists can stay in the creative loop and produce great 3D work faster.

Responsibilities:

  • Build assistive 3D tooling, drawing on geometry methods, implicit representations (SDF/NeRF/Gaussian-splatting), neural rendering, and UV/texturing, to accelerate cleanup, retopology, and other technical steps in the artist’s workflow.
  • Partner with 3D modelers and environment artists to target the most expensive modeling, retopology, and texturing steps and ship tooling that shortens them.
  • Define and run evaluations for 3D results (geometric accuracy, topology quality, game-readiness) and quantify the time returned to artists.
  • Follow developments in 3D ML and neural rendering and judge what holds up under real production and runtime constraints.

Required Qualifications:

  • Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field, with a focus on Machine Learning, Data Science, or Artificial Intelligence.
  • 3D specialization: Deep, proven expertise in 3D ML, covering mesh/geometry methods, implicit representations (SDFs, NeRF, Gaussian splatting), point-cloud learning, neural rendering, and differentiable rendering.
  • At least 5 years of experience applying Machine Learning to real-world problems, with a demonstrated record of delivering impactful, end-to-end ML solutions in 3D in a fast-paced environment.
  • Evidence of working on state-of-the-art approaches, demonstrated through peer-reviewed publications (e.g. SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, NeurIPS) and/or shipped projects, open-source contributions, or production systems in 3D that pushed the technical frontier.
  • Proficiency in programming languages such as Python, C, C++, or C#, and strong hands-on experience with frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong understanding of statistical analysis, experimental design, and evaluation techniques.
  • Deep, hands-on experience with Generative Models, including 3D-aware diffusion and flow matching models, and VAEs over meshes, point clouds, or implicit representations, applied to building artist-assistive tools and accelerating technical steps in the 3D pipeline.
  • Excellent communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
  • Leadership experience, including mentoring junior team members and interns and driving cross-functional collaboration, is highly desirable.

Desired Qualifications:

  • Experience working in the gaming industry or a related field is a plus.

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks:

  • Full relocation support
  • Full health insurance for you, your spouse and children
  • Open paid time off
  • Retirement benefits with company matching
  • Life insurance, parental leave, plus short-term and long-term disability
  • Play Fund so you can broaden and deepen your knowledge of our players and community through games
  • We will double down on your donations of time and money to non-profits
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What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location

  • Please attach any additional documents here (if you have multiple files please .zip them). upload · optional
  • LinkedIn Profile URL optional
  • Website optional
  • How did you hear about this job? choose one
  • Tell us more about your passion for gaming written answer
  • In which language(s) are you business fluent? choose any
  • Are you legally authorized to work in Singapore? choose one
  • Do you now, or will you, require sponsorship to work in Singapore? choose one
  • Have you previously applied to Riot Games? choose one
  • Do you hold a Master’s or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, or a related technical field? choose one
  • Do you have at least five years of professional experience developing and delivering end-to-end machine learning solutions in real-world or production environments? choose one
  • Do you have hands-on experience applying machine learning to motion, animation, human movement, robotics, computer vision, or a closely related area? Please briefly describe your experience.
  • Have you contributed to technically innovative 3D machine learning work through peer-reviewed publications, patents, open-source projects, shipped products, or production systems? Please include a brief example or relevant link. written answer
  • Do you have hands-on experience in 3D machine learning? Please briefly describe your experience. written answer
  • Have you delivered an end-to-end machine learning solution from development through implementation or deployment? Briefly describe your experience
  • Do you have professional or research experience developing machine learning solutions for 3D data or workflows? choose one
  • Which machine learning frameworks do you have strong hands-on experience with? Select all that apply. choose any
  • Briefly describe the most relevant 3D machine learning solution you developed, including your contribution and the outcome.
  • As we are majority owned by Tencent, we would like to know if you have worked for Tencent or a company owned or otherwise affiliated with Tencent within the last 12 months. choose one
  • If yes, can you please indicate the last month you worked for Tencent and/or an affiliate company. choose one
  • At Riot Games, interviewers may use Metaview (an AI notetaker) to capture notes so they can focus fully on the conversation. Are you happy for Metaview to transcribe your interviews? choose one
  • By submitting an application, I acknowledge that I have read and understand the Riot Games Candidate Privacy Notice. choose one

See also

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