LocationRemote
Work ModeFully Remote
DepartmentResearch
Go
Posted 2h ago
About the role
We’re looking for Research Engineers to contribute to our ambitious research agenda spanning multimodal foundational models, interactive world modeling, and real-time generation. This role is highly collaborative and will touch many aspects of our broader research efforts, taking a full-stack approach across pretraining, SFT/RL post-training techniques, evaluation, and bringing models to production.
What you’ll do
Run experiments to teach world models new behaviors — action following, scene manipulation, camera control, and beyond
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
What you’ll need
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
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.