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Senior Machine Learning Platform Engineer (Foundation AI)

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Onsite

Senior Machine Learning Platform Engineer (Foundation AI)

Roblox

Senior Machine Learning Platform Engineer (Foundation AI)

Skills

Data ScienceBootstrapMachine LearningAI

5 days ago

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Important information


Contract type:

Permanent

Salary:

$243,290 – $312,970 / year

Location:

United States

Work mode:

Onsite

Published on:

18 October 2026

What they need


  • ML Platform powers hundreds of use cases and billions of inferences per day across Discovery, Safety, Economy, and Creation
  • We build the primitives that let teams train, evaluate, deploy, and operate models quickly and safely—so a new ML idea can reach production in weeks or less
  • We’re looking for a Principal Platform Engineer who treats platform as a product: someone who can turn complex ML/AI infrastructure into clear, durable APIs, SDKs and easy-to-use CLIs/UIs that our internal developers love
  • This role blends product thinking, developer experience, backend engineering, and infrastructure at scale
  • Hands‑on ML experience is a plus; a track record of building internal platforms that developers love is a must
  • Own 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 great 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 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 ensure the adoption of leading‑edge technologies and practices
  • Mentor junior and senior engineers, lead design reviews, and drive cross‑team architectural decisions that last- Have 7+ years of professional experience and have a wealth of system design experience upon which to draw to build a scalable, reliable ML platform for all of Roblox
  • A clear communicator who excels at both written and verbal communication across differing levels of technical detail
  • Good to have - experience with the end‑to‑end ML model lifecycle such as model serving, training, model CI/CD, and GPU resources management, and have built ML platform features that are delightful to use
  • Proficient in API design and developer experience—gRPC/REST APIs, SDKs, CLIs, and simple UIs that developers love to use
  • You’re passionate about infrastructure‑as‑code and automating painful manual processes. You push for platform solutions that don’t leave on-call teams carrying the burden of design choices
  • Bachelor’s degree in Computer Science, Computer Engineering, Data Science, or a similar technical field
  • Passionate about supporting ML engineers to meet and understand their needs, and translating them into clean, durable platform abstractions
  • A Code Machine; you love not only to design and communicate ideas but also to actually ship product. You obsess about user feedback, and constantly drive towards getting platform features in customers hands

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