DevOps / Infrastructure Engineer - ML Platform - Roblox

As a DevOps / Infrastructure Engineer - ML Platform you will build the next generation of ML Ecosystem Tooling. You will have an impact on the Roblox platform, and the industry, to the next level of managed E2E ML Pipeline Development and Automation—providing our developers and creators alike the ability to go from an ML idea to production in weeks or less. We are looking for accomplished DevOps and Infrastructure engineers to help build the next generation of ML Ecosystem Tooling.

You Are:

• Passionate about pushing the technological envelope and venturing into the unknown.
• Have 3+ years of professional experience and a toolchest of system design experience upon which to draw to build scalable, reliable platforms for all of Roblox.
• Proficient in DevOps tooling such as Docker, Kubernetes, and CI/CD systems
• Have experience running and managing Kubernetes at scale, e.g. 100s-1000s of nodes, and ideally have written your own Kubernetes controllers
• Experience with bootstrapping cloud infrastructure (AWS, GCP, etc.)
• An automation advocate: you're passionate about finding ways to help speed up development processes.
• Experience with best practices in developing Platform / Infrastructure APIs
• Ideally have deployed and maintained an ML model in production
• Ideally have experience optimizing and profiling GPU workloads
• Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field.

You Will:

• Bootstrap and maintain infrastructure for ML Platform components--Serving Layer, Metadata Store, Model Registry, Feature Store, and Pipeline Orchestrator.
• Provide automation so our developers and creators alike the ability to go from an ML idea to production in weeks or less.
• Work on infrastructure projects such as GPU fleet management, workload optimization, and distributed training.
• Partner across organizations to build tooling, interfaces, and visualizations that make the ML@Roblox a delight to use.
• Have an impact to the state of the Roblox platform, and the industry, to the next level of managed E2E ML Pipeline Development and Automation
• Have an impact as a part of the team that is building a platform to handle the thousands of model experiments per day needed to support everything from ranking and recommendations, through content moderation and fraud prevention, to studio creative tooling.