Research Engineer: World Models & Real-Time Simulation

runwayml.com

United States

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Runway is looking for a Research Engineer to contribute to their research agenda on multimodal foundational models and world modeling. You will run experiments, develop data strategies, and collaborate across teams to bring models into production.

The ideal candidate will have 4+ years in machine learning, familiarity with generative models, and proficiency in frameworks like PyTorch or JAX. Join us to build AI that simulates the world!

Qualifications

  • 4+ years of experience in machine learning research or engineering.
  • Familiarity with the architecture, training, and inference of large-scale multimodal generative models.
  • Experience building robust data pipelines for pretraining and post-training.
  • Comfort working across the full research stack: data, training, evaluation, and deployment.
  • Proficiency with at least one ML framework (e.g., PyTorch, JAX) and experience with distributed training at scale.
  • Ability to context-switch quickly and drive projects forward in a fast-moving, ambiguous environment.
  • Excitement about building AI that simulates the world.

Responsibilities

  • Run experiments to teach world models new behaviors.
  • Develop and test new data strategies and training techniques.
  • Design evaluations to measure model capabilities.
  • Collaborate with product and creative teams to take research prototypes to production.
  • Contribute across the entire stack to move projects forward.

Skills

Machine learning research
Multimodal generative models
Data pipeline construction
Distributed training
ML framework proficiency (e.g., PyTorch, JAX)
Fast-paced project management

Job description

Runway is looking for a Research Engineer to contribute to their research agenda on multimodal foundational models and world modeling. You will run experiments, develop data strategies, and collaborate across teams to bring models into production.

The ideal candidate will have 4+ years in machine learning, familiarity with generative models, and proficiency in frameworks like PyTorch or JAX. Join us to build AI that simulates the world!

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