Назад
30 дней назад

Principal Software Engineer - Safety Experience (AI)

295 250 - 345 040$
Формат работы
hybrid
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 Software Engineer - Safety Experience (AI) (LLMs/agentic applications): Building agentic workflows, chatbot features, and scalable safety systems for customer-facing and internal Roblox applications with an accent on LLM innovation, cost optimization, and reliable distributed architecture. Focus on leading complex technical solutions, shaping the safety product roadmap, and developing microservices, APIs, and data-driven experiences that improve online safety.

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

Salary: $295,250–$345,040 USD base pay annually, plus potential equity and benefits

Company

Roblox builds a platform and tools for creating and experiencing immersive 3D digital worlds.

What you will do

  • Design and build agentic workflows and technical solutions for customer-facing applications and internal use cases.
  • Develop innovative LLM-powered chatbot features and optimize their cost.
  • Shape the long-term safety experience roadmap with product, operations, and cross-functional stakeholders.
  • Provide technical leadership and influence engineering decisions across teams.
  • Mentor junior engineers and support their technical growth.

Requirements

  • Bachelor’s degree in Computer Science or a related field and at least 8 years of hands-on experience; a graduate degree is highly preferred.
  • Required experience developing innovative solutions with LLMs.
  • Extensive experience with C#, Java, Python, or similar modern programming languages.
  • Strong knowledge of software design patterns, microservices, RESTful APIs, and RPC.
  • Experience delivering scalable end-to-end solutions for complex technical challenges across multiple teams.
  • For US-based roles, certain US work authorization categories may not be eligible, and future H-1B sponsorship may not be supported.

Nice to have

  • Graduate degree in Computer Science or a related field.
  • Prior machine learning experience.

Culture & Benefits

  • Work on safety, civility, and inclusion for a global community of users and creators.
  • Collaborate with product, operations, and engineering stakeholders across the organization.
  • Full-time employees are eligible for equity compensation and company benefits.
  • Work in an environment focused on technical leadership, analytical problem-solving, user needs, and mentorship.

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