Senior Machine Learning Engineer - Avatar

Roblox
San Mateo, CA, United StatesPosted 24 February 2026

Job Description

<div class="content-intro"><p><span style="font-weight: 400;">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. </span></p> <p><span style="font-weight: 400;">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.</span><strong> </strong><span style="font-weight: 400;">We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. </span></p> <p><span style="font-weight: 400;">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.</span></p></div><p>The <strong>Avatar Team</strong> is at the heart of the Roblox experience. The Roblox Avatar defines the identity of every player and is a core pillar of the metaverse. Our team ensures that these avatars are high-quality, performant, and reliable at scale. We are looking for a Machine Learning Engineer to build the next generation of automation and validation systems that keep our vast ecosystem of 3D content world-class.</p> <p>As a <strong>Senior Machine Learning Engineer</strong>, you will lead the development of state-of-the-art ML models. You will focus on building ML models and systems designed for <strong>3D Avatar Validation</strong>—developing automated ways to detect schema compliance and geometry based exploits, measure quality, detect defects, and ensure that every piece of avatar content (from heads and bodies to clothing and animations) meets our rigorous standards before it reaches hundreds of millions of users.</p> <h3><strong>You Will:</strong></h3> <ul> <li><strong>Lead Technical Strategy:</strong> Design and implement large-scale ML systems for 2D and 3D content understanding, and quality measurement.</li> <li><strong>Architect Automated Validation:</strong> Build robust systems to analyze 3D geometry, skinning weights, rigging structures, and animation data.</li> <li><strong>Cross-Functional Partnership:</strong> Work across the "Avatar Stack," collaborating with senior engineers and artists to translate complex quality requirements into scalable ML solutions.</li> <li><strong>Develop Data Pipelines:</strong> Design and maintain sophisticated pipelines for large-scale data collection and model training involving complex 3D assets like meshes, textures and animations.</li> <li><strong>Innovate:</strong> Stay at the forefront of Computer Vision and 3D Graphics research to keep our validation tools and automated setup systems cutting-edge.</li> </ul> <h3><strong>You Have:</strong></h3> <ul> <li><strong>Education:</strong> A BS, MS, or PhD in Computer Science, Machine Learning, or a related technical field.</li> <li><strong>Advanced ML Expertise:</strong> Deep knowledge of Deep Learning, Computer Vision, and ML frameworks such as PyTorch.</li> <li><strong>Strong 3D Graphics Foundation:</strong> Expert-level understanding of 3D math/geometry, rigging, and animation principles.</li> <li><strong>Software Engineering Excellence:</strong> Strong programming skills in Python and a proven track record in complex software design and system architecture.</li> <li><strong>Preferred Experience: </strong>Previous high-impact projects involving training ML models with 3D data (point clouds, meshes) or Large Language Models (LLMs).</li> <li><strong>Analytical Mindset:</strong> You enjoy quantifying "quality" through data and solving ambiguous, complex technical challenges.</li> </ul> <h3><strong>You Are:</strong></h3> <ul> <li><strong>A Collaborative Leader:</strong> You thrive in cross-functional environments and can mentor junior e ... (truncated, view full listing at source)
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