Runway
Technology
MemberofTechnicalStaff,RoboticsResearchEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Member of Technical Staff, Robotics Research Engineer at Runway. Skills: Robotics, World models, Foundation models, Robot learning. Design robot learning pipelines. Execute robot learning pipelines”
Industry & Context.
Identify and resolve bottlenecks
What They're Looking For.
Must Have
Hands-on robotics experience, Experience with modern learned policies, Experience with robot data collection, Experience with demonstration pipelines, Comfort working across software, hardware, physical systems, Proficiency with at least one ML framework
Nice to Have
Experience with video generative models, Experience with multimodal generative models, Experience with world models, Experience using foundation model representations for control
What You'll Do.
Design robot learning pipelines
Execute robot learning pipelines
Design demonstration data collection
Collect demonstration data
Evaluate policies physically
Deploy learned policies
Iterate on learned policies
Run controlled experiments
Build physical evaluation benchmarks
Maintain physical evaluation infrastructure
Design evaluation tasks
Measure real-world success rates
Coordinate robot data collection
Ensure data consistency
Partner with world model research team
Translate model capabilities
How You'll Work.
Team & Collaboration
Internal teams; External partners; World model research team
Full Job Description
We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. ABOUT THE ROLE *Open to candidates based near our NYC office or those willing to relocate. Building general world models — systems that understand and simulate reality across tasks, modalities, and domains — requires closing the loop between learned representations and real-world action. We’re looking for a Research Engineer to own the robotics vertical of our world models: taking our video-native foundation models and turning them into policies that control real robots in the real world. You will work across the full stack of robot learning — from data collection and task design, to policy training, to physical evaluation and deployment. This is a hands-on, execution-oriented role at the intersection of foundation models, learned robot policies, and hardware. You’ll bring deep robotics domain expertise and help us ship world-model-based robot policies end-to-end, with applications ranging from manipulation to mobile robotics. WHAT YOU’LL DO - Design and execute end-to-end robot learning pipelines — from task
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