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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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.