Senior Machine Learning Platform Engineer, Foundation AI
Roblox · San Mateo, CA, United States
About this role
## About Roblox Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences—built 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 they can imagine to life. Our vision is to reimagine how people come together, from anywhere in the world, on any device. A career at Roblox means shaping the future of human interaction, solving unique technical challenges at scale, and helping create safer, more civil shared experiences for everyone. --- ## ML Platform (What you’ll work on) Roblox ML Platform powers hundreds of use cases and billions of inferences per day across **Discovery, Safety, Economy, and Creation**. We build the primitives that let teams **train, evaluate, deploy, and operate models quickly and safely**—so a new ML idea can reach production in **weeks or less**. We’re looking for a **Principal Platform Engineer** who treats **platform as a product**: turning complex ML/AI infrastructure into clear, durable **APIs, SDKs, and easy-to-use CLIs/UIs** that internal developers love. --- ## You Are - **7+ years** of professional experience with strong **system design** skills to build a scalable, reliable ML platform. - A **code-focused builder**: you design, communicate, and ship. You obsess over user feedback and drive platform features into customers’ hands. - Proficient in **API design and developer experience** (gRPC/REST APIs, SDKs, CLIs, and simple UIs). - **Good to have:** end-to-end ML lifecycle experience (model serving, training, model CI/CD, GPU resource management) and delightful ML platform features. - Passionate about **infrastructure-as-code** and automating painful manual processes; you push for platform solutions that don’t burden on-call teams with avoidable design tradeoffs. - Passionate about supporting ML engineers—translating their needs into clean, durable platform abstractions. - A clear communicator with strong written and verbal skills across technical levels. - Bachelor’s degree in CS, Computer Engineering, Data Science, or a similar technical field. --- ## You Will - **Own platform as a product** end to end: define requirements, write RFDs, and ship **APIs, SDKs, CLIs, and UIs** that make ML@Roblox easy to adopt. - Bootstrap and maintain core ML Platform components: **Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes**. - Set technical strategy and oversee development of high-scale, reliable infrastructure with clear **SLOs** for latency, availability, and cost. - Design great developer experiences with paved-road templates, golden paths, opinionated defaults, and clear docs to reduce time-to-first-production. - Instrument the platform to measure **adoption, friction, reliability, and cost**; use data to prioritize the roadmap and validate outcomes. - Partner across organizations (ML Engineering, Data Science, Infra/SRE, Security, Finance) to optimize performance, safety, and spend—especially for GPU-intensive training and high-QPS inference. - Propose and implement new platform tooling to improve time to production for MLEs across the full ML lifecycle. - Stay current on industry trends in machine learning and infrastructure to adopt leading-edge technologies and practices. - Mentor engineers, lead design reviews, and drive cross-team architectural decisions that last. -
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