CareerPlanGet AI match score →

Senior / Principal Infrastructure Engineer - ML Platform

San Mateo, CA💼 Full-time💰 $278,530–$278,530🗓 2026-07-15 → 2026-07-31

Core

Design, scale, and maintain the foundational infrastructure powering Roblox's entire machine learning ecosystem, supporting hundreds of ML use cases and billions of inferences daily.

Role type

Senior / Principal Infrastructure Engineer - ML Platform

Builds

Next-generation ML tooling, platform capabilities, and foundational infrastructure for the ML ecosystem.

Domain

Cloud Infrastructure / Machine Learning Platform

Deliverable

infrastructure

Required skills

Kubernetes cluster management at scale, Infrastructure as Code (Terraform), system design for scalable platforms, GPU fleet management, hybrid-cloud orchestration, custom Kubernetes controller development

Preferred skills

CI/CD systems, Docker, model serving, training, and model CI/CD, visualizations for ML tooling

Technologies

Kubernetes, Terraform, AWS, GCP, Docker

Responsibilities

Bootstrap and maintain Kubernetes and Cloud infrastructure for ML Platform components; Set technical strategy and oversee development of high scale and reliable infrastructure systems; Propose and implement new platform tooling to improve time to production for MLEs and Data Scientists; Work on infrastructure projects such as GPU fleet management, hybrid-cloud orchestration, and writing custom Kubernetes controllers and resources; Stay abreast of industry trends in machine learning and infrastructure; Partner across organizations to build tooling, interfaces, and visualizations

Seniority

Senior / Principal, hands-on IC with strategic oversight

Sourced via greenhouse · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Greenhouse ↗