An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Moonlake is seeking a Product Engineer who blends robust full-stack development with sharp product judgment and a bias for fast shipping. You will own a product surface end-to-end, turn rough ideas into shipped, measured features, and build front-to-back using React, Next.js, TypeScript, and Python.
You will scope goals, break down work, and collaborate with research, engineering, and founders to advance world models and embodied AI systems.
Introducing Moonlake, AI for creating world simulations.
Moonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for embodied AI, robotics and gaming. We develop the simulation infrastructure to build worlds (e.g., assets, scenes, digital twins) at scale.
Moonlake is building the next generation of AI infrastructure for interactive digital worlds. Our mission is to enable anyone to create, simulate, and interact with rich environments using natural language and multimodal inputs, turning simple ideas into worlds with structure, logic, and agents that can perceive and act.
Our team has raised $28M in seed funding from NVIDIA Ventures, Threshold Ventures, AIX ventures and notable angels including Naval Ravikant and Jeff Dean to build the foundational layer for the future of AI - powering everything from creative tools and games to robotics training, simulations, and digital twins. Our goal is to make building and experimenting with these environments as accessible and scalable as publishing video on the internet.
We are looking for exceptional research engineers and applied researchers to help push the frontier of interactive AI.
We're looking for a Product Engineer who combines strong full-stack engineering with sharp product judgment and a bias for shipping.
Moonlake is building tools that sit between:
The interface layer is critical. These products must make highly complex systems feel intuitive, responsive, and powerful.
You’ll help define how people interact with the next generation of world-building and embodied AI tools.
We are committed to being an on-site, in-person team currently based in San Francisco.