Principal Machine Learning Platform Engineer

Responsibilities

• Own the ML platform as a product by defining requirements, writing RFDs, and shipping APIs, SDKs, CLIs, and UIs.
• Bootstrap and maintain the Serving Layer, Model Registry, Pipeline Orchestrator, and training/inference control planes.
• Set technical strategy and oversee scalable, reliable infrastructure with defined latency, availability, and cost objectives.
• Design templates, golden paths, opinionated defaults, and documentation that improve developer experience and time to production.
• Measure platform adoption, friction, reliability, and cost to prioritize the roadmap and validate outcomes.
• Partner with ML Engineering, Data Science, Infra/SRE, Security, and Finance teams to optimize performance, safety, and spending.
• Develop tooling across the ML lifecycle and mentor engineers, lead design reviews, and drive cross-team architecture.

Requirements

• 10+ years of professional experience and extensive system design experience building scalable, reliable platforms.
• Strong software delivery skills with the ability to design, communicate, and ship platform products.
• Proficiency in API design and developer experience, including gRPC/REST APIs, SDKs, CLIs, and simple UIs.
• Bachelor’s degree in Computer Science, Computer Engineering, Data Science, or a similar technical field.
• Preferred experience with the end-to-end ML model lifecycle, including model serving, training, model CI/CD, GPU resource management, and ML platform features.

Benefits

• Full-time employees are eligible for equity compensation and benefits.
• Office-based roles are onsite Tuesday, Wednesday, and Thursday, with optional presence Monday and Friday.
• Roblox provides equal employment opportunities and reasonable accommodations during the recruiting process.