Tech Stack

Description

You will research and develop embodied AI and behavioral agents that revolutionize game creation and play on Roblox, building agents capable of complex 3D gameplay. This includes automated playtesting and smart NPCs with human-like movement and strategic reasoning.

Requirements

• PhD or Master's in Computer Science, Applied Math, or related field.
• 7+ years as Machine Learning Engineer or Research Scientist applying research to products.
• Deep understanding of Imitation Learning, Reinforcement Learning, Computer Graphics, and Vision.
• Proficiency in Python (PyTorch/TensorFlow) and familiarity with C# or C++.
• Experience training models on large-scale distributed clusters and real-time inference.

Responsibilities

• Design and implement foundation models for embodied agents with human-like movement and strategic reasoning.
• Define the long-term roadmap for Game AI and Embodied Intelligence.
• Balance cutting-edge deep learning research with practical constraints of serving models to millions of concurrent users.
• Mentor engineers and researchers, fostering technical excellence and scientific inquiry.
• Collaborate with Product Managers, Backend and Game Engine Engineers.