Principal Machine Learning Engineer, Embodied AI and Smart NPCs
Core
Research and development of Embodied AI and Behavioral Agents for 3D immersive digital experiences, focusing on automated playtesting and Smart NPCs with human-like movement and strategic reasoning.
Role type
Principal Machine Learning Engineer (Embodied AI)
Builds
Foundation models for embodied agents, scalable solutions for millions of concurrent users
Domain
Gaming, Embodied AI, Robotics, Computer Vision
Deliverable
production ML models
Required skills
Imitation Learning, Reinforcement Learning, Computer Vision, Computer Graphics, Robotics, Agentic Reasoning, low-latency motor control, high-level strategic reasoning, distributed cluster training, real-time inference optimization
Preferred skills
PhD or Master's in CS/Applied Math, top-tier publications in NeurIPS/ICML/CVPR/AAAI/SIGGRAPH
Technologies
Python, PyTorch, TensorFlow, C#, C++
Responsibilities
Design and implement foundation models for embodied agents, define long-term roadmap for Game AI and Embodied Intelligence, balance cutting-edge research with production constraints, mentor engineers and researchers, collaborate with Product Managers and Game Engine Engineers
Seniority
Principal, hands-on IC with strategy & mentorship
