Member of Technical Staff, Research Engineer

The role

Research Engineers will contribute to an ambitious research agenda involving multimodal foundational models, interactive world modeling, and real-time generation. The role involves a full-stack approach across pretraining, post-training techniques, evaluation, and production.

What you will do

• Run experiments to teach world models new behaviors
• Develop and test new data strategies, architectural variants, and training techniques
• Design evaluations that measure model capabilities to drive model improvement
• Take features from research prototype to production
• Collaborate with product and creative teams to address application-specific gaps
• Contribute across the entire stack including data pipelines, modeling, and production inference

Required 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)
• Experience with distributed training at scale
• Ability to context-switch quickly and drive projects forward in a fast-moving, ambiguous environment

About the company

Runway is building AI to simulate the world through merging art and science. The team consists of creative, open minded, caring and ambitious people determined to change the world.