Senior/Staff Product Engineer

Runway ML is hiring a Senior/Staff Product Engineer for a remote role open to applicants in United States. It pays $240k-$290k a year and Level rates it ; you can apply on Runway ML.

Level's read on this job

On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
This is listed as a remote role.
The posting mentions LLM integration and computer vision among its tools and skills.
Level classes it as a lead role.
Runway ML has 46 other open roles on Level.

AI in this role

llm-integrationcomputer-vision

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.

*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.

About the role

We’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 stack

The 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 do

Create 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

What you’ll need

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 Runway

Great 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

We're excited to be recognized as a best place to work:

Crain's | InHerSight | BuiltIn NYC | INC

How we rate this

Senior/Staff Product Engineer at Runway ML rates 87 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior/Staff Product Engineer is an open job at Runway ML.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $240k-$290k a year.
The role is based in Remote and is marked remote.
The job was posted on September 2, 2026.
Seniority: lead.
Applications are handled by Runway ML. Apply on Runway ML

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

LLM IntegrationComputer vision

Questions you could be asked

How have you integrated a large language model into a production application?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: LLM Integration and Computer vision. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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