Назад
7 дней назад

[2027] Senior Machine Learning Engineer - PhD Early Career

196 750 - 243 290$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
[2027] Senior Machine Learning Engineer - PhD Early Career (AI/ML): Building and deploying advanced machine learning systems for Roblox's immersive entertainment platform with an accent on deep learning, generative AI, multimodal architectures, and large-scale infrastructure. Focus on translating research into production, solving high-dimensional challenges at world-scale concurrency, and improving platform engagement, safety, and content growth.

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

Salary: $196,750–$243,290 USD base pay annually

Company

Roblox builds a 3D immersive digital platform where developers and creators build experiences for users to explore, play, learn, and connect.

What you will do

  • Prototype and implement advanced AI and machine learning solutions for core platform features.
  • Develop and deploy deep learning, generative AI, and multimodal models for complex technical challenges.
  • Translate research concepts into scalable, production-ready systems and infrastructure.
  • Collaborate with applied researchers, engineers, and product teams from ideation through deployment and publication.
  • Build ML solutions that improve engagement, safety, and growth of the content ecosystem.

Requirements

  • Possess or pursue a PhD in computer science, engineering, or a related field, with a thesis aligned to the relevant research areas.
  • Deep expertise in deep learning, computer vision, NLP, reinforcement learning, distributed systems, or a related domain.
  • Proficiency in one or more of Python, C++, Go, or Java.
  • Experience building and optimizing large-scale systems.
  • Multiple publications and presentations in rigorous peer-reviewed venues.

Culture & Benefits

  • Work on advanced research applied to production at global scale.
  • Full-time employees are eligible for equity compensation and benefits.
  • Reasonable accommodations are available during the recruiting process.
  • Some U.S. visa categories may not be supported, and future H-1B sponsorship may not be available.

Hiring process

  • Candidate-facing process information, practice assessments, guides, FAQs, and preparation modules are available through Speak_.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →