Senior Machine Learning Engineer - PhD Early Career

Join Roblox to help shape advanced AI and machine learning systems that reach hundreds of millions of daily active users
. In this Senior Machine Learning Engineer role for PhD early career, you will take AI/ML work from ideation to production deployment
, with an emphasis on translating research into scalable infrastructure that supports platform engagement
, safety
, and content ecosystem growth.

• Prototype and implement advanced AI and machine learning solutions that enable core platform features and drive innovation at scale.
• Develop and deploy cutting-edge models, including deep learning
  , generative AI
  , and multimodal architectures
  , to address complex, high-impact problems.
• Partner with applied researchers, engineers, and product teams to convert advanced research ideas into production-ready systems.
• Translate research into scalable, robust infrastructure that delivers measurable impact across a large user base.
• Start from user and product needs, then work backward to architect ML solutions that improve engagement, safety, and content ecosystem growth.

• Possess or be pursuing a PhD in computer science, engineering, or a related field
  , with a thesis aligned to Roblox’s research areas.
• 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 (for example,
  Python
  , C++,
  Go
  , or Java
  ) and experience building and optimizing large-scale systems.
• A strong research track record with multiple publications and presentations in rigorous peer-reviewed venues.

Python
, C++,
Go
, Java
, deep learning, generative AI, multimodal architectures, computer vision, NLP, reinforcement learning, distributed systems.

Location: San Mateo, CA, United States (onsite).

Annual Salary Range: USD 196,. The actual base pay depends on job-related factors including professional background, training, work experience, location, business needs, and market demand.

All full-time employees are eligible for equity compensation and benefits as described on this page.

Roles based in an office are onsite Tuesday, Wednesday, and Thursday
, with optional presence on Monday and Friday (unless otherwise noted).

US-based roles only: 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.