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Senior Machine Learning Engineering Manager, Safety AI Systems

Roblox

San Mateo, CA, United States

<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><h2><strong>Why Safety AI Systems?</strong></h2> <p>As Senior Engineering Manager for Safety AI Systems at Roblox, you'll lead technical efforts and manage a team of experienced engineers to develop innovative AI solutions for multimodal content safety. You’ll oversee machine learning systems, constructing multimodal model architectures, improving data quality, training pipelines, and model performance to address challenges like real-time multi-verse content understanding and advanced moderation with large vision language models, spanning avatars, images, videos, audios, text, code / data models, and their composites. </p> <p>In close collaboration with product, policy, and Trust & Safety teams, you'll design large-scale systems to detect and mitigate abusive behavior before it harms the community. You'll own critical services at massive scale, balancing user freedom with platform civility to protect and empower our users. Your leadership will help ensure Roblox remains a safe, inclusive space for self-expression and shared experiences.</p> <h2><strong>You Will</strong></h2> <ul> <li><strong>Own the vision, technical direction, and execution</strong> of machine learning solutions for the Multimodal Safety AI system, ensuring these systems effectively detect and prevent harmful content at scale.</li> <li><strong>Lead and grow a high-performing team</strong> of ML engineers, fostering a culture of innovation, technical excellence, accountability, and inclusivity, while mentoring and developing talent.</li> <li><strong>Break down ambitious long-term goals</strong> into an actionable, iterative roadmap – delivering continuous improvements in stages and driving tangible value at each step.</li> <li><strong>Architect and guide the development</strong> of large-scale machine learning models with innovative architectures, ensuring they achieve high quality and are production-ready.</li> <li><strong>Drive alignment on complex technical decisions</strong> across multiple teams (within and beyond the Safety org), demonstrating empathy and building consensus among diverse stakeholders.</li> <li><strong>Collaborate cross-functionally</strong> with Product, Data Science, Policy, Design, and Operations partners to define and prioritize the machine learning roadmap for multimodal safety initiatives, ensuring alignment with broader Safety and Roblox objectives.</li> <li><strong>Stay ahead of emerging trends</strong> in AI/ML and content moderation techniques, continuously innovating our safety approaches to anticipate new challenges.<br><br></li> </ul> <h2><strong>You Have</strong></h2> <ul> <li><strong>5+ years</strong> of experience building large-scale machine learning systems in production environments.</li> <li><strong>Proven track record</strong> of designing, developing, and launching ML models from scratch into production.</li> <li><strong>2+ years</strong> of hands-on experience with vision language models or other foundation model technologies.</li> <li><strong>Expertise in solving complex ML modeling, data, and infrastructure challenges</strong> – with a focus on maintaining high quality and velocity at scale.</li> <li><strong>Ability to thrive in ambiguity:</strong> you excel at bringing clarity and direction to undefined or open-ended problem spaces.</li> <li><strong>Demonstrated success collaborating acr

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