[2027] Senior Machine Learning Engineer - PhD Early Career
San Mateo, CA · San Mateo · USD 196,750-243,290 / year · Full-time · Onsite · Posted Oct 8, 2026
At a glance
- Employment
- Full-time
- Workplace
- Onsite
- Location
- San Mateo, CA · San Mateo
- Salary
- USD 196,750-243,290 / year · Base salary
- Visa sponsorship
- Visa sponsorship not offered
About the role
- At Roblox, advanced research belongs in production, driving core algorithmic advances at a global scale.
- You will own high-impact projects end-to-end, from initial ideation to production deployment and academic publication, while solving complex, high-dimensional challenges at world-scale concurrency.
- Your expertise, across research areas including Computer Vision and Graphics, multimodality, NLP, or recommendation systems, will directly shape the experience for millions of daily active users.
Responsibilities
- Prototype and implement advanced AI and machine learning solutions that drive core platform features and innovation at scale.
- Develop and deploy cutting-edge models (e.g., deep learning, generative AI, multimodal architectures) to solve complex, high-impact technical challenges.
- Collaborate with applied researchers, engineers, and product teams to translate advanced research concepts into production-ready systems.
- Translate complex research into scalable, robust infrastructure that directly impacts hundreds of millions of daily active users.
- Work backward from user and product needs to architecture, and deliver ML solutions that improve platform engagement, safety, and content ecosystem growth.
Requirements
- Possess or 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 (e.g., Python, C++, Go, Java) and experience building and optimizing large-scale systems.
- A strong research track record, evidenced by multiple publications and presentations in rigorous peer-reviewed venues.
Benefits
- Equity compensation
Workplace
- Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Skills
- Python
- C++
- Go
- Java
- Deep Learning
- Generative AI
- Computer Vision
- NLP
- Reinforcement Learning
- Distributed Systems
