Full-Time

Member of Technical Staff

Embodied Agents

Updated on 5/11/2026

Moonlake AI

Moonlake AI

11-50 employees

Generates interactive simulations using natural language

No salary listed

San Francisco, CA, USA

In Person

On-site work required; team currently based in San Mateo, CA.

Category
Software Engineering (1)
Required Skills
Machine Learning
Reinforcement Learning
Requirements
  • Strong background in embodied AI, reinforcement learning, robotics, or agent systems
  • Experience training agents in simulated environments
  • Strong machine learning and systems fundamentals
  • Deep curiosity around general intelligence and interactive learning systems
  • Ability to move quickly between research and implementation
  • Comfort working across multimodal systems and interactive environments
  • Strong coding and experimentation ability
Responsibilities
  • Design and train embodied AI agents operating inside simulated and interactive environments
  • Build systems that combine: Vision, Depth, Language, Memory, Planning, Control
  • Develop agent architectures capable of long-horizon reasoning and interaction
  • Train policies for continuous and discrete action spaces
  • Improve robustness, generalization, and environment interaction capabilities
  • Work on simulation-to-agent training pipelines
  • Collaborate closely with world-modeling, infrastructure, and product teams
  • Push toward more general, adaptive embodied systems
  • Multimodal agent systems
  • Vision-language-action models
  • World-aware policy architectures
  • Hierarchical planning systems
  • Long-horizon task execution
  • Memory-augmented agents
  • Visual perception
  • Depth understanding
  • Spatial reasoning
  • Language grounding
  • Multi-modal fusion systems
  • Environment understanding
  • Memory systems
  • Long-context reasoning
  • Task decomposition
  • Decision-making under uncertainty
  • Goal-conditioned behavior
  • Planning and execution loops
  • Continuous control systems
  • Discrete action systems
  • Policy optimization
  • Reinforcement learning and imitation learning
  • Agent-environment interaction systems
  • Interactive simulation pipelines
  • RL environments
  • Robotics simulation
  • Interactive 3D worlds
  • Synthetic data pipelines
  • Agent evaluation frameworks
  • Scalable training systems

Moonlake AI is a San Francisco-based research lab that builds artificial intelligence tools to help people create interactive digital worlds. Its platform uses natural language to let users design and edit 2D and 3D environments without coding or 3D modeling skills. It combines multi-modal reasoning to plan space, program synthesis to generate game logic, and a real-time diffusion model to style visuals, so users can conversationally edit physics, add rules, and place AI agents inside a world. Compared with other developers, Moonlake AI focuses on turning complex interactive world-building into a simple, chat-driven process by blending reasoning about space, automated code generation for interactions, and immediate visual styling. The company aims to lower the cost and effort required to build interactive environments, making rapid prototyping, user-generated worlds, and robotics/simulation platforms accessible to game studios, design teams, IP holders, and researchers.

Company Size

11-50

Company Stage

Seed

Total Funding

$28M

Headquarters

California

Founded

2025

Simplify Jobs

Simplify's Take

What believers are saying

  • Scenario-based benchmarking positions Moonlake as evaluation standard across $multi-billion world-building market.
  • The Dome San Jose venue converts digital world-building into tangible 100-ft immersive experiences.
  • Long-horizon iterative refinement automates repetitive studio workflows like material consistency and naming.

What critics are saying

  • NVIDIA GR00T and Isaac Sim commoditize robotics simulation use case by Q3 2026.
  • Unity 2024 LTS generative scene assembly undercuts core game developer value proposition.
  • OpenAI Sora 2.0 floods market with superior free persistent 3D simulation alternatives.

What makes Moonlake AI unique

  • Blender integration reaches 4M+ monthly creative users immediately upon launch.
  • Structural validation through code-based verification prevents geometry errors competitors miss.
  • 3D Agent reconstructs complex scenes from single images, enabling 100x faster generation.

Help us improve and share your feedback! Did you find this helpful?

Your Connections

People at Moonlake AI who can refer or advise you

Benefits

Remote Work Options

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

Wellness Program

Gym Membership

Phone/Internet Stipend

Professional Development Budget

Conference Attendance Budget

Stock Options

Company Equity

Paid Vacation

Paid Holidays

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
WebWire
Dec 12th, 2025
Moonlake AI Unveils the World's First Generative Game Engine

Moonlake AI unveils the world's First Generative Game Engine. The new engine brings programmable, persistent world changes to real-time interactive content. Moonlake's Generative Game Engine Moonlake AI, an applied research lab building models for real-time interactive content, today unveiled its Generative Game Engine (GGE), a system for building interactive worlds 100x faster than ever possible. Its underlying AI model has massive promise across video game development, AI training, virtual reality, and robotics, and will be available in Q1 2026 when Moonlake AI opens its beta. Join now at: https://www.moonlakeai.com. Developers Problem: Massive Time and Money to Build Interactive Worlds Creating rich interactive worlds is slow and expensive because every meaningful change requires specialized 3D artists, engine work, and weeks of iteration. Even when teams can generate great visuals, the results often don't stay consistent over time, objects shift, details "reset," and worlds can't reliably remember what happened a few moments ago. That makes it hard to build experiences where environments react to gameplay in a controlled, persistent way. And for most creators without deep technical skills, turning an idea into a world with rules and behavior is still out of reach. The result is a creative bottleneck: worlds are either high-quality but rigid, or dynamic but unpredictable. "Before handheld video cameras, filmmaking was only reserved for well funded Hollywood studios," explained Fan Yun Sun, co-founder of Moonlake AI. "The gaming world is still running off that model of extremely high moats. This new model brings us one step closer to giving anyone the tools needed to create their own world or game." Moonlake's Solution: The First Generative Game Engine Moonlake's Generative Game Engine is the first programmable world model for real-time interactive content, built to make world changes controllable, consistent, and persistent. Unlike video-only generation, Moonlake's GGE can be conditioned on more than pixels, including 3D/structural signals, so edits hold together across frames instead of drifting or snapping back. Creators can "author" how a world responds, like elemental damage, weather shifts, or story-driven transformations, and have those changes remain coherent as gameplay continues. Because it's designed to work on top of existing games and interactive experiences, Moonlake's GGE aims to add generative, reactive world behavior without requiring teams to rebuild their entire pipeline. "The missing piece in generative worlds is control," said Sharon Lee, co-founder of Moonlake AI. "Our new GGE will allow creators to specify what changes, why it changes, and how long it persists, so the world feels authored, not random." Moonlake is hosting a game hackathon, bringing together builders, gamers, and world-crafters together for a day of interactive world creation with its first ever generative game engine. Winning projects will be debuted on The Dome, a 100-ft immersive park rising in San Jose - an arena where players can step inside Moonlake-built interactive worlds at unprecedented scale. Sign up here: https://partiful.com/e/JbKr33S4uNPY2zHuiR2I Moonlake AI's Generative world engine will enter beta access in Q1 2026. To learn more, visit https://www.moonlakeai.com/. About Moonlake AI Moonlake AI is an applied research lab at the intersection of AI, reinforcement learning, and creativity. Based in San Francisco, the team consists of world-class researchers and engineers, including best paper award winners, ACM ICPC medalists, and international Olympiad medalists. Moonlake builds multi-modal models that empower anyone to create interactive worlds without needing 3D modeling or programming expertise. The company has raised a $28 million seed round from Threshold, AIX, and Nvidia Ventures and other leading AI researchers and founders. This news content may be integrated into any legitimate news gathering and publishing effort. Linking is permitted. News Release Distribution and Press Release Distribution Services Provided by WebWire.

Vavoza
Nov 17th, 2025
What Is Moonlake AI? Learn How To Build Interactive Worlds

What is Moonlake AI? Learn how to build interactive worlds. Moonlake AI has launched a creation platform designed to let anyone build immersive, interactive worlds without needing 3D modeling skills, game engines, or coding experience. The company, backed by more than $ 28 million in recent seed funding, utilizes multimodal reasoning and built-in agents to assist creators in designing environments, simulations, and agent-driven characters through simple prompts. The goal is to make worldbuilding, game-style scenes, and interactive experiences accessible to everyday creators and businesses. The platform seamlessly integrates spatial generation, autonomous agents, and real-time rendering into a unified workflow. Users can generate environments, place objects, script actions, and design behaviors through natural language, allowing them to prototype simulations or interactive scenes significantly faster than with traditional tools. Moonlake AI believes these interactive worlds will become a major new medium for training, storytelling, education, and digital experiences across industries. Key takeaways: * Moonlake AI lets users build interactive worlds without coding or 3D modeling skills. * The platform blends multimodal reasoning with autonomous agents to speed up worldbuilding. * Backed by 28 million dollars in funding, the company aims to democratize simulation and interactive content creation. You may also want to check out some of its other recent updates. Wanna know what's trending online every day? Subscribe to Vavoza Insider to access the latest business and marketing insights, news, and trends daily with unmatched speed and conciseness!

WebWire
Oct 1st, 2025
Moonlake AI Launches with $28M Seed

Moonlake AI has launched from stealth with $28M seed funding from AIX Ventures, Threshold, and NVIDIA Ventures. Founded by Stanford and NVIDIA researchers, Moonlake's AI models enable users to create interactive worlds in minutes without coding skills. The platform supports game design, robotics simulations, and more, aiming to democratize interactive content creation. Notable investors include Steve Chen and Jeff Dean. Moonlake is currently in private preview, with early access available.