Senior Machine Learning Engineer, Dynamic Economics

<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>As a <strong>Senior Machine Learning Engineer</strong> on the <strong>Economy ML</strong> team, you will build models that power ranking, personalization, pricing, and optimization across Roblox’s economic surfaces, including Marketplace, Developer Monetization, and Payments. Your work will directly shape how users discover virtual items, how creators earn, and how the platform grows sustainably.</p> <p>The <strong>Economy ML</strong> team is building the machine learning backbone for Roblox’s virtual economy—from intelligent pricing and personalized storefronts to dynamic layout optimization and avatar content understanding. We partner closely with Marketplace, Payments, and Developer Monetization to deliver ML systems that drive long‑term value across engagement, retention, and creator earnings.</p> <h2>You will:</h2> <ul> <li>Work backwards from ambiguous product problems to design and ship <strong>end‑to‑end ML solutions</strong> for ranking, recommendation, pricing, and content understanding across Economy surfaces.</li> <li>Build and iterate on <strong>deep learning retrieval and ranking models</strong> that personalize item and widget ordering across the Marketplace and other shopping experiences.</li> <li>Develop models and policies that optimize <strong>pricing, conversion, and revenue </strong>while balancing ecosystem health, payer experience, and creator success.</li> <li>Own the full <strong>ML lifecycle</strong> for your projects: data exploration, feature engineering, model design, training, evaluation, and production deployment on Roblox’s ML platform.</li> <li>Design and run robust <strong>experiments</strong> (A/B tests and multi‑cell experiments), tying your work to core metrics such as engagement, bookings, and creator earnings.</li> <li>Partner cross‑functionally with <strong>Product, Backend, Data Science, Design, and other Marketplace / Economy teams</strong> to define roadmaps, requirements, and success metrics for ML‑driven features.</li> <li>Ensure the systems you build are <strong>scalable, reliable, observable, and extensible</strong>, including setting best practices around logging, monitoring, and on‑call readiness for ML services.</li> <li>Contribute to the <strong>technical direction</strong> of the Economy ML team: help refine our modeling stack, experimentation strategy, and approaches to long‑term reward optimization across the economy.</li> <li>Mentor other engineers on ML best practices, code quality, and experimentation, helping raise the technical bar of the broader Economy organization.</li> </ul> <h2><strong>You Have</strong></h2> <ul> <li>BS, MS, or Ph.D. in Computer Science, Machine Learning, Statistics, or a related technical field—or equivalent practical experience building ML systems.</li> <li><strong>Experienced: </strong>5+ years experience with one or more of the following areas: search, recommendation, personalization, pricing, or content understanding systems for a high‑scale product.</ ... (truncated, view full listing at source)