Research Engineer: World Models & Simulation

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

Job summary

Runway is seeking a Research Engineer to advance multimodal world models, spanning pretraining to production, collaborating across product and creative teams. This role emphasizes hands-on experimentation and cross-functional impact in a fast-moving environment.

You will run experiments, develop data strategies, and design evaluations to push model capabilities while contributing across data, training, evaluation, and deployment to produce scalable, production-ready results.

Qualifications

• 4+ years of ML research or engineering experience.
• Experience with large-scale multimodal models.
• Experience building robust data pipelines for pretraining and post-training.
• Ability to work across data, training, evaluation, deployment in a fast-moving environment.

Responsibilities

• Run experiments to teach world models new behaviors — action following, scene manipulation, camera control.
• Develop and test new data strategies, architectural variants, and training techniques
• Design evaluations that measure model capabilities, and use them to drive model improvement
• Take features from research prototype to production, collaborating with product and creative teams to address application-specific gaps
• Contribute across the entire stack (data pipelines, modeling, production inference) to move projects forward

Skills

ML research

Multimodal models

Data pipelines

Full-stack ML

PyTorch

JAX

Distributed training

Adaptability

World simulation

Tools

PyTorch

JAX

Job description

Runway is seeking a Research Engineer to advance multimodal world models, spanning pretraining to production, collaborating across product and creative teams. This role emphasizes hands-on experimentation and cross-functional impact in a fast-moving environment.

You will run experiments, develop data strategies, and design evaluations to push model capabilities while contributing across data, training, evaluation, and deployment to produce scalable, production-ready results.