At Runway, we believe everyone has a story to tell. Our mission is to make professional video and content creation accessible to all. We are taking recent advancements in computer graphics, the web, and machine learning to push the boundaries of creativity and in turn, lower the barriers of content creation; unfastening a new wave of storytelling 🚀

Over the last four years, we’ve raised funding from top-tier investors and partners including Amplify, Coatue, Compound, Felicis, Google, Lux, NVIDIA, and Salesforce. Our team consists of creative, open minded, caring, and entrepreneurial individuals from all walks of life. We aspire to build incredible things which starts with building an incredible team, so we’d love to hear from you! 😁

About the role 🎉

We’re looking for a strong Staff Software Engineer to help us build scalable and robust data infrastructure to power Runway’s applied research. You will be the first hire in a new team that’s focused on building data pipelines to support all of Runway’s generative model training and continuous model improvement. The best fit for this role has experience with building large-scale systems for analysis, curation, and retrieval of multimodal data, as well as strong system design and collaboration skills.

What you’ll do 🎨

Build out pipelines for the creation, curation, and processing of large-scale multimodal datasets
Create internal tooling to enable Runway’s applied research team to build workflows and run experiments on that infrastructure

What you’ll need 💻

Strong knowledge of Python
Experience with one or more frameworks for large-scale data processing (e.g. Spark, Ray, etc) and one or more ML frameworks (e.g. PyTorch, JAX)
Experience building out data pipelines from scratch and optimizing those pipelines for high performance and great developer experience
Familiarity and experience with AWS and/or GCP is a bonus

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.

Salary range: $190,000-230,000

Working at Runway 🥳

We are a small and growing team of artists, engineers, researchers, and dreamers working together to reimagine creativity. And we’re building a unique team of talented individuals from diverse backgrounds. We believe that this will allow us to continue to up-level each other, our company, and our product. We’re looking for people that will add to our culture, not just fit in.

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!

Keep exploring Runway:

Our Behaviors and Company Mission

We raised a $141 million extension to our Series C!

Runway Research | Runway Graphics | Runway Blog | Runway Studios

We're excited to be recognized as a best place to work! Crain's | InHerSight | BuiltIn NYC | INC

This job is no longer accepting applications

See open jobs at Runway.See open jobs similar to "Member of Technical Staff, Data Infrastructure" Madrona Venture Group.

See more open positions at Runway

Privacy policy Cookie policy