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Applied Scientist - PhD Intern

Roblox
NewPosted today

LOCATION

San Mateo · Onsite

EXPERIENCE

Not specified

TYPE

Internship

SKILLS REQUIRED

Machine LearningDeep LearningComputer Visionreinforcement learningdistributed systemsPython

Job description

Overview

Join Roblox's Applied Science team as a PhD intern to prototype, experiment with, and deploy advanced AI, machine learning, and 3D technologies at scale, owning a high-impact project from ideation to production and publication.

What you'll do

  • Prototype, experiment with, and deploy advanced AI, machine learning, and 3D technologies to solve real-world challenges at scale.
  • Translate cutting-edge research into production-ready features alongside cross-functional engineering and product teams.
  • Develop, deliver, and optimize solutions that measurably enhance user experience, safety, and creativity on the platform.

What you'll need

  • Possess or are pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox's research areas.
  • Deep expertise in a relevant technical domain, including deep learning, computer vision, NLP, reinforcement learning, or distributed systems.
  • Proficiency in one or more programming languages (e.g., Python, C++, Go, Java) with experience building and optimizing large-scale systems.
  • A strong research track record, evidenced by multiple publications and presentations in highly regarded peer-reviewed venues.

Details

  • Location: San Mateo, CA, United States (headquarters).
  • 12 or 16 week internship in the Winter, Summer, or Fall.
  • Onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
  • Hourly pay range: $72 USD.
  • For US based roles only: the Company may not be able to employ candidates who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Read the full description and apply on the company’s own careers page.

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Applied Scientist - PhD Intern