Roblox is seeking a Principal Machine Learning Infrastructure Engineer to lead the design, deployment, and operation of scalable ML infrastructure for the Ads & Discovery business. You will own the architecture and roadmap for production-ready ML systems, including model training, data pipelines, feature engineering, and model inference, and collaborate with data scientists, ML engineers, platform teams, and product stakeholders. Responsibilities include defining scalable, reliable, and cost-effective ML infrastructure for training, serving, and feature management; establishing engineering best practices; and staying current with industry trends to adopt leading-edge technologies. Requirements: 5+ years of experience designing, building, and deploying large-scale ML systems in production; 3+ years of experience leading ML infrastructure engineers; strong communication and collaboration skills; BS, MS, or PhD in Computer Science, Engineering, or related field. Location: San Mateo, California, United States. This role is hybrid with onsite presence on Tuesday, Wednesday, and Thursday, and optional presence on Monday and Friday. Compensation: Annual Salary Range $293,800—$343,340 USD; actual pay depends on background, location, and market demand. Roblox provides equity and benefits as described in the posting. For US-based roles only, please note that the company may not be able to employ candidates for this role who have United States work authorization related to certain visa categories, or support future H-1B sponsorship at this time.

Roblox is seeking a Principal Machine Learning Infrastructure Engineer to lead the design, deployment, and operation of scalable ML infrastructure for the Ads & Discovery business. You will own the architecture and roadmap for production-ready ML systems, including model training, data pipelines, feature engineering, and model inference, and collaborate with data scientists, ML engineers, platform teams, and product stakeholders. Responsibilities include defining scalable, reliable, and cost-effective ML infrastructure for training, serving, and feature management; establishing engineering best practices; and staying current with industry trends to adopt leading-edge technologies. Requirements: 5+ years of experience designing, building, and deploying large-scale ML systems in production; 3+ years of experience leading ML infrastructure engineers; strong communication and collaboration skills; BS, MS, or PhD in Computer Science, Engineering, or related field. Location: San Mateo, California, United States. This role is hybrid with onsite presence on Tuesday, Wednesday, and Thursday, and optional presence on Monday and Friday. Compensation: Annual Salary Range $293,800—$343,340 USD; actual pay depends on background, location, and market demand. Roblox provides equity and benefits as described in the posting. For US-based roles only, please note that the company may not be able to employ candidates for this role who have United States work authorization related to certain visa categories, or support future H-1B sponsorship at this time.