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 roleWe’re looking for a Product Engineer to join our team and help us build cutting-edge, AI-powered video creation and collaboration tools. Rather than specialists, we’re seeking curiosity-driven engineers who are thoughtful problem solvers and thrive in fast-paced, high-ownership environments. Our engineering team is highly collaborative and works on a wide variety of exciting challenges, including developing new interfaces for AI content creation, building LLM-powered features and conversational experiences, and deploying cutting-edge computer vision and generative models to production.
A peek at our technical stackThe rich UI of our generative AI tools is powered by TypeScript and React with MediaBunny driving in-browser media and React Flow powering our node-based creative workflows. Our API endpoints for user and media management are written in TypeScript and Node.js and deployed as containerized services on AWS ECS Fargate. We leverage AI APIs to power advanced generative capabilities.
What you’ll doCreate rich multimedia interfaces using the cutting-edge of the latest AI video generation models Gen-4.5 and Aleph 2.0
Build end-to-end full-stack AI-powered product features — designing and developing both frontend experiences and backend systems, including authoring server-side processes and APIs that power our generative AI tools
Design and implement LLM-powered features and conversational interfaces
Partner with a world-class engineering team pushing the boundaries of creativity and content creation on the browser
Take on new challenges across the Frontend stack to implement product features for Runway’s machine learning-based generative AI tools
Improve the performance, reliability, and code quality of our codebases
5+ years of industry experience in a software engineering role, ideally full-stack focused
Demonstrated fluency in one or more programming languages, including but not limited to JavaScript/TypeScript
Experience building with third-party AI APIs (e.g., chatbots, LLM integrations)
Experience in architecting production-ready systems and familiarity with debugging and profiling tools
Ability to rapidly prototype solutions and iterate on them with tight product deadlines
Humility and open-mindedness; at Runway, we love to learn from one another
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.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
Working at RunwayGreat things come from great teams. We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
Universal World Simulator
GWM-1
Gen-4.5
General World Models
Robotics SDK
Conversational Real-time Agents
Runway Studios
We're excited to be recognized as a best place to work:
Crain's | InHerSight | BuiltIn NYC | INC
Skills Required
- 5+ years of industry experience in a software engineering role, ideally with a full-stack focus
- Fluency in one or more programming languages, including JavaScript or TypeScript
- Experience building with third-party AI APIs, such as chatbots or LLM integrations
- Experience architecting production-ready systems
- Familiarity with debugging and profiling tools
- Ability to rapidly prototype and iterate under tight product deadlines
- Humility and open-mindedness
Runway Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Runway and has not been reviewed or approved by Runway.
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Healthcare Strength — Healthcare is described as fully employer‑paid for U.S. employees and dependents, with complimentary mental health benefits and a One Medical membership. These provisions indicate broad, high‑value coverage that reduces out‑of‑pocket burden.
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Parental & Family Support — Policies include fully paid parental leave for all parents, paired with a structured gradual return‑to‑work plan. This signals meaningful support during family transitions.
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Leave & Time Off Breadth — Time‑off offerings include unlimited PTO with a recommended minimum and paid sabbaticals at 3, 5, and 7 years. This mix emphasizes both ongoing rest and longer‑term rejuvenation.
Runway Insights
What We Do
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.
Why Work With Us
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.
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