Member of Technical StaffLocation: San Mateo, CA
Type: Full-time • On-site
OverviewMoonlake 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.
Our research sits at the intersection of:
- reasoning models
- diffusion models
- simulation environments
- embodied agents
- generative game engines
We are looking for exceptional research engineers and applied researchers to help push the frontier of interactive AI.
What You'll DoDepending on your strengths and interests, your work may include:
World Modeling- Train models that generate structured interactive environments
- Improve multimodal reasoning across vision, language, and simulation
Code Generation Agents- Build agent systems that generate game logic and world structures
- Design tool-using reasoning systems for interactive content generation
- Work on post-training and fine-tuning of code generation models to improve reasoning, tool use, and environment construction
Diffusion Rendering- Develop real-time diffusion renderers for stylized game visuals
- Improve performance and controllability of video diffusion models
Systems & Infrastructure- Build high-performance training and inference pipelines
- Optimize large-scale training and distributed systems
Simulation & Embodied Intelligence- Build environments for training embodied agents
- Explore reinforcement learning and multimodal reasoning
What We're Looking ForStrong Signals- PhD in Computer Science, Machine Learning, Robotics, Graphics, or related field
- Experience working at frontier research labs or leading AI research groups
- Strong publication record or impactful open-source contributions
Technical Skills- Deep learning frameworks (PyTorch, JAX, etc.)
- Experience with large-scale training or distributed systems
- Strong coding ability in Python/C++/CUDA
- Experience fine-tuning or post-training large models (especially code generation or multimodal models)
Ideal Candidates- Researchers who want to move quickly from research to product
- Engineers who enjoy building new systems from scratch
- People excited about the intersection of AI + simulation + interactive worlds
We are committed to being an on-site, in-person team currently based in San Mateo
