Staff Machine Learning Engineer, 3D - Singapore Efficiency Team
On-siteCentral, Louisiana, United States
Job Summary
Build assistive 3D tooling using geometry methods, implicit representations, 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 expensive modeling and texturing steps, then define evaluations for geometric accuracy and topology quality to quantify time returned. Follow developments in 3D ML and neural rendering while judging what holds up under real production and runtime constraints. This Staff Machine Learning Engineer role within Riot Games' Singapore Efficiency Team focuses on compressing the tedious path from a modeler's idea to a game-ready asset, enabling creative teams to produce great 3D work faster.
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
- 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, 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
Desired Qualifications
- Leadership experience, including mentoring junior team members and interns and driving cross-functional collaboration, is highly desirable
- Experience working in the gaming industry or a related field is a plus
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