Senior AI Platform Engineer - Agentic Systems
$227.37k - $295.25kRoblox
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.
Why This Role?
- Unprecedented Scale: Your contributions will touch billions of users globally, driving innovation in gaming, learning, social connections, and creativity.
- Pioneer & Builder: You will play a pivotal role in designing, building, and scaling our core AI infrastructure from the ground up.
- Cutting-Edge Technology: Work on complex, large-scale systems that push the boundaries of modern ML infrastructure, including Knowledge Graphs, Vector Search, and Agentic RAG systems.
- Design, develop, and operate Knowledge Graph systems for serving, ingesting data, and executing graph queries at massive scale for critical ML applications (e.g., recommendations, fraud detection, safety, and social proof).
- Own and significantly improve our Vector Database infrastructure, scaling it to support 100B+ vector searches and ensuring high-performance, low-latency lookups.
- Build robust, highly available APIs and services to seamlessly integrate Knowledge Graphs and Vector DBs into new agentic and RAG (Retrieval-Augmented Generation) applications.
- Research, evaluate, and pioneer the adoption of the latest advancements in VectorDB technology, Knowledge Graphs, and Ground Truth Data labeling practices to define new industry standards.Develop comprehensive evaluation frameworks to measure agentic performance, safety, and reliability.
- 5+ years of professional experience designing, building, and operating large-scale distributed systems and production-grade ML infrastructure.
- Proven expertise in AI platform features, with a specific focus on ML Data Infrastructure.
- Deep understanding of the architectural challenges and solutions for highly performant Vector Databases (e.g., indexing, partitioning) and Knowledge Graphs (e.g., query languages, serving architectures).
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
- A strong builder's mindset, driven by a passion for pioneering AI platform innovation and delivering technology that connects people globally.
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