Member of Technical Staff, GPU Optimization

About the role

We're looking for a Machine Learning Engineer who can help us build new multimodal AI systems for media generation. The ideal candidate for this role has a combination of strong engineering skills, extensive experience working on machine learning projects, and thrives in fast-paced, high-ownership environment.

What you'll do

• Work with a world-class engineering team pushing the boundaries of content creation on the browser
• Collaborate with our research team to deploy state-of-the-art computer vision models to production
• Improve the performance and efficiency of our machine learning deployments

What you'll need

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 : $165,000-$210,000

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 people 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!

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