Назад
6 дней назад

Senior Machine Learning Engineering Manager, Safety AI Systems

295 250 - 345 040$
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

Текст:
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TL;DR
Senior Machine Learning Engineering Manager, Safety AI Systems (AI/ML and multimodal content safety): Leading the development of large-scale multimodal machine learning systems for detecting and preventing harmful content across avatars, images, videos, audio, text, and code with an accent on model architecture, data quality, training pipelines, and production performance. Focus on building real-time content understanding, guiding vision-language model development, and solving complex safety challenges at massive platform scale.

Location: San Mateo, California, United States; onsite Tuesday, Wednesday, and Thursday, with optional office presence Monday and Friday

Salary: $295,250–$345,040 USD annual base pay

Company

Roblox operates a 3D immersive platform where developers and creators build experiences for a global community.

What you will do

  • Own the technical vision, direction, and execution of multimodal Safety AI systems.
  • Lead, mentor, and grow a high-performing team of machine learning engineers.
  • Architect and guide large-scale machine learning models and production-ready systems.
  • Develop solutions for real-time understanding and moderation of avatars, images, video, audio, text, and code.
  • Collaborate with Product, Data Science, Policy, Design, Operations, and Trust & Safety partners.
  • Drive technical alignment, roadmaps, and continuous improvements for platform safety.

Requirements

  • 5+ years of experience building large-scale machine learning systems in production.
  • Experience designing, developing, and launching machine learning models from scratch.
  • 2+ years of hands-on experience with vision-language models or other foundation model technologies.
  • Expertise in machine learning modeling, data, infrastructure, cloud services, scalable data pipelines, and distributed systems.
  • Experience with modern microservice architectures and the ability to contribute hands-on to code and architecture discussions.
  • Strong product judgment, cross-functional collaboration, mentoring, conflict resolution, and strategic planning skills.

Culture & Benefits

  • Full-time employees are eligible for equity compensation and company benefits.
  • Work focuses on creating safer, more inclusive shared experiences.
  • Workplace values include innovation, technical excellence, accountability, collaboration, diversity, and inclusion.
  • For this US-based role, future H-1B sponsorship may not be supported, and candidates with certain US visa categories may not be eligible.

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