
[2027] Applied Scientist - PhD Intern
San Mateo, CA · San Mateo · USD 72-72 / hour · Full-time · Onsite · Posted Oct 8, 2026
At a glance
- Employment
- Full-time
- Workplace
- Onsite
- Location
- San Mateo, CA · San Mateo
- Salary
- USD 72-72 / hour
- Visa sponsorship
- Visa sponsorship not offered
About the role
- As an Applied Scientist - PhD Intern at Roblox, you will be part of a community of curious scientists and engineers building foundational and applied machine learning methods at scale.
- During your 12 or 16 week internship, you'll own a high-impact project from ideation and experimentation to production and publication.
- You will combine innovative research—including Computer Vision and Graphics, multimodality, NLP, and recommendation systems—with world scaling distributed engineering.
Responsibilities
- 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 our community of curious, cross-functional engineering and product teams.
- Develop, deliver, and optimize solutions that measurably enhance user experience, safety, and creativity on our platform.
Requirements
- 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.
Workplace
- Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday
Skills
- Python
- C++
- Go
- Java
- Deep Learning
- Computer Vision
- NLP
- Reinforcement Learning
- Distributed Systems