Machine Learning Engineer - Remote

Overview

Runway is a research company pioneering new tools for human imagination. Runway has been at the forefront of multi-modal AI systems ensuring that the future of content creation is accessible, controllable and empowering for creatives. Runway’s mission is to ensure that anyone anywhere can tell their stories. We believe that deep learning techniques applied to audiovisual content will forever change art, creativity, and design tools.

Runway is leading a shift to generative media that is unlocking an unprecedented level of creative potential. The invention of the camera 200 years ago forever changed our world – AI is a new kind of camera that will reshape storytelling forever and lead to full feature films that are entirely generated.

In Short

• Develop innovative research projects in computer vision, focusing on generative models for image and video.
• Work with a world-class engineering team pushing the boundaries of content creation on the browser.
• Collaborate closely with the rest of the product organization to bring cutting-edge machine learning models to production.

Requirements

• 5+ years of relevant engineering or research experience in machine learning, computer vision and/or graphics
• Solid knowledge of at least one machine learning framework (e.g. PyTorch, Tensorflow)
• Very strong programming skills and ability to write clean and maintainable research code
• Deep interest in building human-in-the-loop systems for creativity
• Ability to rapidly prototype solutions and iterate on them with tight product deadlines
• Strong communication, collaboration, and documentation skills

Benefits

• Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team.
• Salary ranges are based on competitive market rates for our size, stage and industry.
• Salary is just one part of the overall compensation package we provide.
• We are open to considering candidates who may be more or less experienced than outlined in the job description.
• 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.