Roblox
Senior / Principal Infrastructure Engineer - ML Platform
San Mateo, CA, United States · Principal · Full-time
H1B sponsorship available$279k-$345kDetected 11 hours ago
AWSGCPCloud PlatformsDockerKubernetesTerraformCI/CDDevOpsMachine LearningData Science
About the role
- Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.
- For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below.
- The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand.
Responsibilities
- For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
- 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.
- 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.
- ML Platform @ Roblox today supports hundreds of ML use cases and billions of inferences per day across Discovery, Safety, Engine, and much more.
Nice to have
- Deep experience with Kubernetes (K8s) and cluster management at scale - e.g., managing 100s-1000s of nodes, serving 100k+ QPS, and ideally having experience writing custom Kubernetes controllers.
- Strong proficiency in Infrastructure as Code (IaC), specifically using Terraform to bootstrap, manage, and automate cloud infrastructure across AWS, GCP, or similar environments.
- Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field or equivalent practical experience.
Skills
- Set technical strategy and oversee development of high scale and reliable infrastructure systems.
- Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading-edge technologies and practices.
- Proficient in DevOps tooling such as Docker, Kubernetes, CI/CD systems, and bootstrapping cloud infrastructure (AWS, GCP, etc.)
Compensation
- $278,530 - $345,040 USD
- Therefore, in some circumstances, the actual salary could fall outside of this expected range.
- This pay range is subject to change and may be modified in the future.
- Annual Salary Range
Benefits
- As an Infrastructure Engineer on the ML Platform team, you will design, scale, and maintain the foundational infrastructure powering our entire machine learning ecosystem.
- All full-time employees are also eligible for equity compensation and for benefits as described on this page.
Company info
- We are looking for accomplished engineers to spearhead the development of our next-generation ML tooling and platform capabilities.
Visa & Work Authorization
- For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
This listing is sourced directly from Roblox's careers page and normalized into a canonical job model.