Senior Machine Learning Platform Engineer, Foundation AI

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 were 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. Were 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 youll 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.

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 safelyso a new ML idea can reach production in weeks or less. Were looking for a Principal Platform Engineer who treats platform as a product: someone who can turn complex ML/AI infrastructure into clear durable APIs SDKs and easy-to-use CLIs/UIs that our internal developers love.

This role blends product thinking developer experience backend engineering and infrastructure at scale. Handson ML experience is a plus; a track record of building internal platforms that developers love is a must.

• Have 7 years of professional experience and have a wealth of system design experience upon which to draw to build a scalable reliable ML platform for all of Roblox.
• A Code Machine; you love not only to design and communicate ideas but also to actually ship product. You obsess about user feedback and constantly drive towards getting platform features in customers hands.
• Proficient in API design and developer experiencegRPC/REST APIs SDKs CLIs and simple UIs that developers love to use.
• Good to have - experience with the endtoend ML model lifecycle such as model serving training model CI/CD and GPU resources management and have built ML platform features that are delightful to use.
• Youre passionate about infrastructureascode and automating painful manual processes. You push for platform solutions that dont leave on-call teams carrying the burden of design choices.
• Passionate about supporting ML engineers to meet and understand their needs and translating them into clean durable platform abstractions.
• A clear communicator who excels at both written and verbal communication across differing levels of technical detail.
• Bachelors degree in Computer Science Computer Engineering Data Science or a similar technical field.

• Own platform as a product and set direction end to end: Define requirements write RFDs and ship APIs SDKs CLIs and UIs that make 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 and reliable infrastructure systems with clear SLOs for latency availability and cost.
• Design great developer experiences with pavedroad templates golden paths opinionated defaults and clear docs to reduce timetofirstproduction.
• Instrument the platform to measure adoption friction reliability and cost; use data to prioritize roadmap and validate outcomes.
• Partner across organizations (ML Engineering Data Science Infra/SRE Security Finance) to optimize performance safety and spend especially for GPUintensive training and highQPS inference.
• Propose and implement new platform tooling to improve time to production for MLEs across the full ML lifecycle.
• Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leadingedge technologies and practices.
• Mentor junior and senior engineers lead design reviews and drive crossteam architectural decisions that last.