Research Engineer, Data Foundations

The role

You will own the data behind world models by designing datasets, running modeling experiments, and building infrastructure to generate and curate data at scale. This work shapes model capabilities for applications ranging from creative tools to robotics.

What you will do

• Design multimodal, multitask datasets to teach world models new capabilities
• Run controlled training experiments to understand how data composition drives model performance
• Build and operate large-scale pipelines for synthetic data generation, filtering, and quality control
• Define evaluations and benchmarks to measure model improvement
• Partner with product and creative teams to translate target behaviors into data strategies

Required qualifications

• 4+ years of experience in machine learning
• Experience with large multimodal datasets and generative models (video, image, or multimodal)
• Deep intuition for how data composition and quality translate to model capabilities
• Comfort working across the full research stack: data analysis, dataset creation, model training, evaluation, and back again
• Proficiency with at least one ML framework (e.g. PyTorch, JAX)
• Proficiency with distributed compute tools (e.g. Ray, Kubernetes)
• Excitement about building AI that simulates the world

Nice to have

• data-centric approaches

About the company

Runway is building AI to simulate the world through merging art and science. The team aims to build general-purpose simulation and world models.