Posted at: 13 June
Applied Research Lead - Reinforcement Learning
Company
Runway
Runway is an AI-driven creativity platform headquartered in the US, specializing in tools for art and entertainment, operating primarily in a B2B model.
Remote Hiring Policy:
Runway is open to hiring remotely across North America and Europe, with team members also working from offices in NYC, San Francisco, Seattle, and London.
Job Type
Full-time
Allowed Applicant Locations
Europe, North America
Salary
$280,000 to $380,000 per year
Job Description
About the role
*Open to hiring remote across North America and Europe — we also have offices in NYC, San Francisco, Seattle, London, and Tel Aviv
We’re looking for a Sr. Applied Research Scientist to lead efforts in applying reinforcement learning based techniques to improve the quality and controllability of the models that power Runway’s research and tools. This role is for someone who has a strong background building impactful and novel machine learning projects, has strong software engineering skills, and is deeply interested in seeing their research materialize in novel user interfaces for creative tasks.
What you’ll need
4+ years of relevant engineering or research experience in applying reinforcement learning to align language, image, and/or video generation models
Very strong programming skills and ability to write clean and maintainable research code
Deep interest in building human-in-the-loop systems for creativity
Passion for seeing research through from initial conception to eventual application
Experience mentoring and teaching other researchers
Strong communication, collaboration, and documentation skills
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: $280,000-$380,000