Research Engineer, Multimodal World Data & Simulations

Aimlroles; Northern (KY); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Runway is seeking Research Engineers to own the data behind world models, designing datasets, running experiments, and building the data pipelines to generate and curate data at scale for applications ranging from creative tools to robotics.

You will design multimodal, multitask datasets, run controlled training experiments, and define evaluations to ensure models improve on meaningful tasks. Join a team shaping AI that simulates the world.

Qualifications

• 4+ years of experience in machine learning.
• Experience with large multimodal datasets and generative models.
• Ability to design datasets and run modeling experiments.
• Comfort across the full research stack: data analysis, dataset creation, model training, evaluation.
• Proficiency with at least one ML framework (PyTorch or JAX) and distributed compute tools.

Responsibilities

• Design multimodal, multitask datasets that teach world models new capabilities — deciding what data to collect, generate, or curate and measuring its effect on model behavior
• Run controlled training experiments to understand how data composition drives model performance across tasks and domains
• Build and operate large-scale pipelines for synthetic data generation, filtering, and quality control
• Define evaluations and benchmarks that measure whether our models are actually improving at the things that matter
• Partner with product and creative teams to translate target behaviors and capabilities into concrete data strategies

Skills

Machine Learning

Multimodal datasets

Generative models

Tools

PyTorch

JAX

Ray

Kubernetes

Job description

Runway is seeking Research Engineers to own the data behind world models, designing datasets, running experiments, and building the data pipelines to generate and curate data at scale for applications ranging from creative tools to robotics.

You will design multimodal, multitask datasets, run controlled training experiments, and define evaluations to ensure models improve on meaningful tasks. Join a team shaping AI that simulates the world.