About the role#
As an Applied Scientist PhD Intern, you will join a team of scientists and engineers building machine learning methods for a platform with millions of daily users. You will work on projects that combine research with large-scale distributed engineering. This internship lasts 12 or 16 weeks and is available during the Winter, Summer, or Fall of 2027.
What you'll do#
- Own a high-impact project from ideation and experimentation through to production and potential publication.
- Prototype, test, and deploy advanced AI, machine learning, and 3D technologies.
- Translate research into features that run in production by working with cross-functional engineering and product teams.
- Build and optimize solutions that improve user experience, safety, and creativity.
What you'll need#
- You are currently pursuing or possess a PhD in computer science, engineering, or a related field with a thesis aligned to our research areas.
- Deep technical expertise in areas such as deep learning, computer vision, NLP, reinforcement learning, or distributed systems.
- Proficiency in at least one programming language like Python, C++, Go, or Java.
- Experience building and optimizing systems at scale.
- A research track record with multiple publications and presentations in peer-reviewed venues.
Location & details#
- This role is based in San Mateo, California.
- The work modality is hybrid, with office attendance expected on Tuesday, Wednesday, and Thursday.
- This is a paid, full-time internship position.
- We are unable to provide visa sponsorship for this role.
About Roblox
Roblox operates a platform for users to create and share immersive digital experiences. The company provides a desktop design tool that allows a community of developers to build multiplayer games and social environments. Founded in 2004, the firm is based in San Mateo, California. It currently employs over 8,000 people and functions as a public company.
How to get in at Roblox
Applying early to Roblox internships gives you a distinct advantage before the candidate pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first and ensure your materials are seen before the pile grows. Reaching out to the right person often yields better results than submitting to a general queue. Intern Insider surfaces the recruiters behind the company's roles so you can reach out directly to ask about the role or a referral, which materially improves response rates.
