Applied AI Postdoctoral Researcher, 3D Embodied Agents ...

About usEgo is building an Infinite Game - a persistent virtual 3D world where humanlike AI agents are able to interact with players and each other to build their own relationships, communities, and games within the game. Our embodied AI agents can perceive the world in 3D, reason like a human, and write scripting code directly into the game engine.Feel free to learn more about ego on our YC launch page:RoleWe're seeking an exceptional AI researcher/engineer to join our team in developing the ego game agent architecture - a groundbreaking system for autonomous gameplay in 3D environments. This role combines cutting-edge research with practical engineering to create AI agents capable of human-level reaction times (300-500ms) in complex game worlds.Working with our team and researchers from AI Singapore and NTU's Prof. Bo An's Lab, you'll help architect a hierarchical AI system that combines high-level reasoning using multimodal LLMs with fast, low-level action models. The ideal candidate brings deep expertise in computer vision, transformer architectures, and real-time AI systems, along with practical experience shipping production ML systems.Your work will focus on developing and optimizing:Real-time perception systems using state-of-the-art computer vision modelsFast vision-language-action models inspired by robotics approachesEfficient model architectures that achieve human-level reaction timesEnd-to-end autonomous gameplay across various 3D gamesThis role represents a unique opportunity to push the boundaries of AI gaming, building on projects like Minecraft Voyager while working within our game development ecosystem. You'll collaborate closely with our engineering team to integrate these AI systems seamlessly into our game engine, while conducting novel research that advances the field of autonomous game AI.If you're passionate about combining research-grade AI with practical engineering to create autonomous agents that can truly play games like humans do, we'd love to hear from you.Key ResponsibilitiesDevelop and implement hierarchical AI architectures combining high-level reasoning and low-level action modelsDesign and optimize real-time computer vision systems for game object detection and trackingCreate and fine-tune vision-language-action models for autonomous gameplayCollaborate with AI Singapore and NTU researchers on cutting-edge AI agent architecturesImplement and optimize GUI interaction models and 3D object tracking systemsContribute to data collection, model training, and benchmark developmentWork closely with game developers to integrate AI systems into the game engineRequired QualificationsMaster's or PhD in Computer Science, AI, or related fieldStrong programming skills in Python and experience with deep learning frameworks such as PyTorchExpertise in computer vision and transformer architecturesExperience with real-time AI systems and optimizationPractical knowledge of LLMs and vision-language modelsBackground in reinforcement learning or imitation learningFamiliarity with game engines and 3D environmentsA strong interest in video games and a desire to contribute to the future of interactive entertainmentStrong communication and collaboration skills, with the ability to explain complex technical concepts to both technical and non-technical audiencesAbility to self-manage and work independently or collaboratively as neededPreferred Skills (Nice to Have)Experience with vision-language-action models (VLA)Knowledge of model distillation and optimization techniquesFamiliarity with YOLO, SAM, or similar computer vision frameworksExperience with behavior cloning and inverse dynamics modelsBackground in game development or 3D graphicsPublication record in relevant conferences (ICLR, NeurIPS, ICML, etc.)Project HighlightsYou'll be working on:Developing real-time AI agent architectures with 300-500ms latencyImplementing multi-modal LLM systems for game understandingCreating efficient vision-language-action modelsBuilding scalable data collection and training pipelinesBenchmarking across various 3D games and environments #J-18808-Ljbffr

Created: 2025-09-17