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roblox

Senior Machine Learning Engineer - PhD Early Career

San Mateo, CA $197k - $243k/yr Full time Posted 14d ago

Job Description

Own end-to-end AI/ML work at world-scale concurrency, turning advanced research into production systems.

Responsibilities

  • Prototype and implement advanced AI and machine learning solutions supporting core platform features and innovation at scale
  • Develop and deploy cutting-edge models, including deep learning, generative AI, and multimodal architectures
  • Collaborate with applied researchers, engineers, and product teams to translate research concepts into production-ready systems
  • Turn complex research into scalable, robust infrastructure that impacts hundreds of millions of daily active users
  • Work backward from user and product needs to architect ML solutions that improve platform engagement, safety, and the content ecosystem
  • Drive high-impact AI/ML projects from ideation through production deployment and academic publication

Requirements

  • Possess or be pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox’s research areas
  • Demonstrate deep expertise and curiosity in a relevant technical domain such as deep learning, computer vision, NLP, reinforcement learning, or distributed systems
  • Proficiency in one or more programming languages, such as Python, C++, Go, or Java, plus experience building and optimizing large-scale systems
  • Strong research record supported by multiple publications and presentations in rigorous peer-reviewed venues

Technologies

  • Python
  • C++
  • Go
  • Java
  • Deep learning
  • Generative AI
  • Multimodal architectures
  • Computer vision
  • NLP
  • Reinforcement learning
  • Distributed systems

Location and Work Schedule

  • San Mateo, CA, United States (onsite)
  • Office-based schedule: onsite Tuesday, Wednesday, and Thursday
  • Optional presence on Monday and Friday unless otherwise noted

Compensation

  • Annual salary range: $196,750–$243,290 USD
  • Actual base pay depends on professional background, training, work experience, location, business needs, and market demand
  • All full-time employees are eligible for equity compensation

Benefits

  • Equity compensation
  • Benefits (as described on this page)

Additional Application Information

  • As you apply, more details about the process are available by signing up for SPEAK_, including a practice assessment, comprehensive guides, FAQs, and modules

Work Authorization Note (US Roles)

  • The company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time

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