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Member of Technical Staff, Engineering Acceleration Program

Runway logo

Location
United States
Base Salary
180k-260k USD
Runway

Job Description

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

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

Advice from our career coach

A successful applicant for the Acceleration Program at Runway should have a strong background in software development, machine learning implementation, and systems programming. To stand out as an applicant, here are some key tips:

  • Showcase your software development achievements, highlighting any widely-recognized software systems you have created or contributed to.
  • Demonstrate your expertise in machine learning by providing examples of high-quality open-source implementations of research papers or independent projects.
  • Highlight your experience in systems programming, particularly in high-performance distributed systems.
  • Emphasize your exceptional programming aptitude and solid grasp of systems design in your application.
  • Illustrate your passion for AI through continuous self-education, such as reading papers and engaging in hands-on experimentation.

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About the job

Jul 21, 2024

Full-time

180k-260k USD

  1. US United States

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