About the company
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.
At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.
We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
Responsibilities
- Design and implement foundation models end to end through the feature extraction to inference for embodied agents.
- Define the long-term roadmap for Game AI and Embodied Intelligence, acting as a technical bar-raiser for code quality and architectural design.
- Balance the exploration of cutting-edge deep learning research with the practical constraints of serving models to millions of concurrent users.
- Mentor fellow engineers and researchers, fostering a culture of technical excellence and scientific inquiry.
- Collaborate with Product Managers, Backend and Game Engine Engineers and other Roblox team members.
Requirements
- PhD or Master’s in Computer Science, Applied Math, or other field. A record of top-tier publications (e.g., NeurIPS, ICML, CVPR, AAAI, SIGGRAPH, etc) in embodied agents or related domains is a plus.
- 7+ years of experience as a Machine Learning Engineer or Research Scientist, applying research to tangible products.
- Deep technical understanding of Imitation Learning, Robotics, Reinforcement Learning, Computer Graphics and Vision, with experience working on low-latency motor control (human-like movement) and high-level strategic reasoning (game rules/goals).
- Experience with building large scale data/feature pipeline, simulation environments for evaluation / RL.
- Experience training models on large-scale distributed clusters and understanding the challenges of inference in real-time gaming environments.
- Proficiency in Python (PyTorch/TensorFlow) and familiarity with C#, C++, or similar systems languages.
- A passion for bridging the gap between research and production, moving beyond academic benchmarks to launch scalable solutions that directly impact millions of users.
Conditions
- Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
- All full-time employees are also eligible for equity compensation and for benefits.