Назад
11 дней назад

Principal Machine Learning Platform Engineer (Foundation AI)

295 250 - 345 050$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Machine Learning Platform Engineer (Foundation AI) (ML platform/infrastructure): Building durable APIs, SDKs, CLIs, and UIs for a high-scale ML platform supporting model training, evaluation, deployment, and operation with an accent on developer experience, reliability, and GPU-intensive workloads. Focus on designing serving layers, model registries, pipeline orchestration, and training/inference control planes while setting technical strategy, improving platform adoption, and mentoring engineers.

Location: San Mateo, California, United States. Office-based roles are onsite Tuesday through Thursday, with optional presence on Monday and Friday.

Salary: $295,250–$345,050 USD annual base pay.

Company

Roblox builds tools and platforms for developers and creators to produce immersive 3D digital experiences.

What you will do

  • Own the ML platform as a product, defining requirements and delivering APIs, SDKs, CLIs, and UIs.
  • Build and maintain the serving layer, model registry, pipeline orchestrator, and training and inference control planes.
  • Set technical strategy for scalable infrastructure with clear latency, availability, and cost objectives.
  • Create templates, golden paths, opinionated defaults, and documentation that reduce time to production.
  • Measure platform adoption, usability, reliability, and cost, and use the data to prioritize improvements.
  • Partner with ML Engineering, Data Science, Infrastructure/SRE, Security, and Finance teams; lead architecture decisions and mentor engineers.

Requirements

  • 10+ years of professional experience with extensive system design experience.
  • Strong hands-on software engineering experience and a record of shipping internal developer platforms.
  • Proficiency in API design and developer experience, including gRPC or REST APIs, SDKs, CLIs, and user interfaces.
  • Experience with infrastructure as code, automation, and reliable high-scale systems.
  • Clear written and verbal communication skills, including collaboration across technical disciplines.
  • Bachelor’s degree in Computer Science, Computer Engineering, Data Science, or a related technical field.

Nice to have

  • Experience with the end-to-end machine learning model lifecycle, including model serving, training, model CI/CD, and GPU resource management.

Culture & Benefits

  • Work on ML infrastructure supporting hundreds of use cases and billions of inferences per day.
  • Collaborate across ML, data, infrastructure, security, and finance organizations.
  • Full-time employees are eligible for equity compensation and company benefits.
  • For US-based roles, certain US visa categories may not be supported, and future H-1B sponsorship may not be available.

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