Senior Machine Learning Platform Engineer, Foundation AI

Overview

Principal Platform Engineer on the ML Platform team, treating the ML platform as a product: building APIs, SDKs, CLIs and UIs that make ML development at Roblox fast and safe, across Discovery, Safety, Economy and Creation.

What you'll do

• Own the platform as a product and set direction end to end: define requirements, write RFDs, and ship APIs, SDKs, CLIs and UIs that make ML@Roblox easy to adopt.
• Bootstrap and maintain core ML Platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes.
• Set technical strategy and oversee development of high scale and reliable infrastructure systems, with clear SLOs for latency, availability, and cost.
• Design developer experiences with paved-road templates, golden paths, opinionated defaults, and clear docs to reduce time-to-first-production.
• Instrument the platform to measure adoption, friction, reliability, and cost; use data to prioritize the roadmap and validate outcomes.
• Partner across organizations (ML Engineering, Data Science, Infra/SRE, Security, Finance) to optimize performance, safety, and spend, especially for GPU-intensive training and high-QPS inference.
• Propose and implement new platform tooling to improve time to production for MLEs across the full ML lifecycle.
• Stay abreast of industry trends in machine learning and infrastructure to adopt leading-edge technologies and practices.
• Mentor junior and senior engineers, lead design reviews, and drive cross-team architectural decisions that last.

What you'll need

• 7+ years of professional experience with a wealth of system design experience to build a scalable, reliable ML platform.
• A track record of building internal platforms that developers love.
• Proficient in API design and developer experience: gRPC/REST APIs, SDKs, CLIs, and simple UIs.
• Passionate about infrastructure-as-code and automating painful manual processes.
• Passionate about supporting ML engineers to understand their needs and translating them into clean, durable platform abstractions.
• Clear communicator, excelling at both written and verbal communication across differing levels of technical detail.
• Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field.

Nice to have

• Hands-on ML experience.
• Experience with the end-to-end ML model lifecycle such as model serving, training, model CI/CD, and GPU resource management.
• Experience building ML platform features that are delightful to use.

Details

• Location: San Mateo, CA, United States (headquarters).
• Onsite Tuesday, Wednesday and Thursday, with optional presence on Monday and Friday.
• Annual base salary range $243,290 to $312,970 USD; actual pay depends on job-related factors.
• Eligible for equity compensation and benefits.
• For US-based roles only: the Company may not be able to employ candidates who have US work authorization related to certain visa categories, or support future H-1B sponsorship at this time.