Member of Technical Staff - Machine Learning Trust & Safety
About the role
*Open to hiring remote across North America and Europe — we also have offices in NYC, San Francisco, Seattle, and London
We’re looking for a Machine Learning Engineer to build systems for trust and safety in Runway’s platform. The ideal candidate for this role has a combination of strong engineering skills, extensive experience working on machine learning projects, and thrives in a fast-paced, high-ownership environment. You must also be willing and able to work with sensitive content and situations that may be offensive, disturbing, or triggering.
What you’ll do
Architect and develop systems for preventing abuse and improving guardrails in Runway’s generative models and tools.
Work with a world-class engineering team pushing the boundaries of generative models and content creation.
What you’ll need
4+ 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
Ability to rapidly prototype solutions and iterate on them with tight product deadlines
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: $260,000-$325,000
About the job
Apply for this position
Member of Technical Staff - Machine Learning Trust & Safety
About the role
*Open to hiring remote across North America and Europe — we also have offices in NYC, San Francisco, Seattle, and London
We’re looking for a Machine Learning Engineer to build systems for trust and safety in Runway’s platform. The ideal candidate for this role has a combination of strong engineering skills, extensive experience working on machine learning projects, and thrives in a fast-paced, high-ownership environment. You must also be willing and able to work with sensitive content and situations that may be offensive, disturbing, or triggering.
What you’ll do
Architect and develop systems for preventing abuse and improving guardrails in Runway’s generative models and tools.
Work with a world-class engineering team pushing the boundaries of generative models and content creation.
What you’ll need
4+ 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
Ability to rapidly prototype solutions and iterate on them with tight product deadlines
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: $260,000-$325,000