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Member of Technical Staff, Engineering Acceleration Program

RunwayOnsite
This job is no longer open

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.

About the role


The Acceleration Program is an intensive, full-time, 3-month venture dedicated to fostering engineers, propelling them into accomplished machine learning engineer roles within our organization.

What you’ll do


  • Tailored Mentorship: Participants are paired with seasoned researchers, with weekly check-ins to ensure steady progress.
  • Evaluation & Transition: A stringent end-of-program review to assess competence, with successful candidates seamlessly transitioning to ML engineer roles within our team.
  • Large Scale Access: Participants will have the opportunity of working with large scale GPU clusters for model training

What you’ll need


  • Software Development Achievements: Creation of or significant contributions to widely-recognized software systems.
  • Machine Learning Implementation: High-quality open-source implementations of machine learning research papers or autonomous research projects.
  • Systems Programming Proficiency: Experience in high-performance distributed systems and systems programming
  • Exceptional programming aptitude and a solid grasp of systems design.
  • Demonstrable passion for AI, shown through continuous self-education via reading papers and hands-on experimentation.

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: $180,000-$260,000

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

  • Runway Research
  • Runway's AI Film Festival
  • Creative Dialogues Series
  • Runway Studios
  • Our Behaviors and Company Mission
  • We raised a $141 million extension to our Series C

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

This job is no longer open

Life at Runway

Thrive Here & What We Value1. Emphasis on diversity, inclusion, and equal opportunity2. Competitive salary with market rates based on experience, skill level, and qualifications3. Open to candidates of varying experience levels4. Commitment to creating a great place to work (recognized as best by Crain's, InHerSight, BuiltIn NYC, INC)5. Pay equity for the team6. Flexible compensation package7. Excitement about AI Film Festival and Creative Dialogues Series8. Strong company culture (mentorship, learning from one another, humility)
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