Riot Games

We leverage cutting-edge machine learning approaches to reimagine how art, animation, and design content are produced and enhanced across our games. 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. Responsibilities: Investigate and prototype advanced generative models targeting creative pipelines. Desired Skills: Experience with multimodal modeling, controllable generation, or diffusion-based frameworks.

You will be reporting to the Senior Manager, Machine Learning Engineer. As a Staff Machine Learning Engineer, Audio, you’ll build tools that handle the tedious and technical parts of audio production so sound designers and audio teams can focus on the craft of sound. 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 Audio in a fast-paced environment. Deep, hands-on experience with Generative Models, including audio diffusion and flow matching models, VAEs, and autoregressive/transformer models for waveform or spectrogram modeling, applied to building artist-assistive tools and accelerating technical steps in the audio pipeline.

You will be reporting to the Sr Manager, Machine Learning Engineer. As a Staff Machine Learning Engineer, Animation, you’ll design and ship ML tools that accelerate the technical scaffolding around animation, from motion processing to rig-related workflows, and integrate them into the way animators already work. Responsibilities: Build assistive animation tooling, drawing on motion synthesis, motion matching/blending, retargeting, and physics-based character control, to remove mechanical steps from the animator’s workflow. 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 Animation in a fast-paced environment.