5 дней назад
Senior / Principal Infrastructure Engineer - ML Platform (AI)
278 530 - 345 040$
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Описание вакансии
Текст:
TL;DR
Senior / Principal Infrastructure Engineer - ML Platform (AI): Building and scaling foundational Kubernetes and cloud infrastructure for Roblox's machine learning platform with an accent on model serving, GPU fleet management, and reliable high-scale systems. Focus on designing custom Kubernetes controllers, automating infrastructure with Terraform, orchestrating hybrid-cloud environments, and improving the end-to-end ML lifecycle for data scientists and ML engineers.
Location: San Mateo, California, United States; office-based roles require onsite attendance Tuesday through Thursday, with optional presence on Monday and Friday.
Salary: $278,530–$345,040 USD annual base pay.
Company
Roblox develops a platform for creating and experiencing 3D immersive digital experiences used by a global community of developers and creators.
What you will do
- Bootstrap and maintain Kubernetes and cloud infrastructure for the ML Platform serving layer, metadata store, model registry, and pipeline orchestrator.
- Define technical strategy and oversee the development of reliable, high-scale infrastructure systems.
- Develop platform tooling that improves time to production across the machine learning lifecycle.
- Build infrastructure for GPU fleet management, hybrid-cloud orchestration, and custom Kubernetes controllers and resources.
- Partner with data scientists and ML engineers to create tooling, interfaces, and visualizations for ML platform users.
Requirements
- 6+ years of professional engineering experience with system design for scalable, reliable platforms.
- Deep experience managing Kubernetes clusters at scale, including hundreds to thousands of nodes and 100k+ QPS.
- Strong Terraform and infrastructure-as-code experience across AWS, GCP, or similar cloud environments.
- Proficiency with Docker, Kubernetes, CI/CD systems, and cloud infrastructure.
- Experience with model serving, training, model CI/CD, and GPU resource management.
- Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field, or equivalent practical experience.
Culture & Benefits
- Work on infrastructure supporting hundreds of machine learning use cases and billions of inferences per day.
- Collaborate across organizations to improve the experience of internal ML platform users.
- Full-time employees are eligible for equity compensation and company benefits.
- Equal employment opportunities and reasonable accommodations are provided during the recruiting process.
- Future H-1B sponsorship may not be supported, and certain US visa categories may not be eligible for employment.
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