Senior Machine Learning - Avatar, Core AI

About the position Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Machine Learning Engineer, you will work on challenging problems leveraging state-of-art AI/ML to empower a new generation of Roblox experiences for our growing community of users. We are looking for senior AI/ML engineers to lead the vision of low compute cost, in experience machine learning at Roblox, taking leads on designing core components of on-device ML operations. We are designing a system for advancing model architecture, enabling more efficient deployment to cloud and client, while delivering on complex operations including Generative AI model deployment. The engineer will be driving the architecture optimization across a large range of compute devices, making efficient use of available compute resources. Join us in our exciting journey!

Responsibilities

• Develop and implement state-of-the-art ML models
• Stay up-to-date with the latest research in ML and related fields, and apply this knowledge to improve the model performance
• Establish a pipeline for delivering Roblox ML model on range of computing devices
• Build cross-functional partnership on deployment and architecture optimization
• Design and implement primary components of the in-experience machine learning system.

Requirements

• 2+ years experience in developing machine learning models, preferably in image, video, audio or 3D representations with Python
• A strong understanding of deep learning frameworks including PyTorch and Tensorflow.
• Experience in shipping ML features in production environments, including low powered devices.
• Excellent cross-functional skills, partnering with organization leaders, driving to a conclusion.
• Knowledge in state-of-the-art deep learning network architectures and primitives.
• Experience with model optimization techniques.

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