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Applied Research Lead - Model Scaling at Runway. Location Information: North America,Europe. 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 pretraining the next generation of Runway’s multimodal models. 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 ML engineering or research experience. 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