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Member of Technical Staff - Machine Learning Optimization at Runway. Location Information: USA. About the role. *Open to hiring remote across America — we also have offices in NYC, San Francisco and Seattle. We’re looking for Machine Learning Engineers who can help us build new multimodal AI systems for media generation. The ideal candidate for this role has a combination of strong engineering skills, extensive experience working on machine learning projects, and thrives in fast-paced, high-ownership environment. Multiple positions available.. What you’ll do. Improve performance of model training and inference.. Exercise strong low-level understanding of GPU workloads in a fast-paced, high-ownership environment.. Optimize state-of-the-art AI models for video generation, such as Gen-3 and other video and video models.. Build tooling to improve the efficiency and reliability of distributed training runs on Runway’s HPC cluster.. Role may telecommute from anywhere in the US with occasional travel to HQ.. What you’ll need. 5 years of experience in the job offered or similar software engineering position. 5 years of experience in a role optimizing machine learning model inference and training. 5 years of experience with Python, C/C++, CUDA. 5 years of experience profiling GPU performance and distributed training runs. Experience with ML framework (such as PyTorch), optimized runtimes for inference (such as TensorRT) or compilers (such as GCC). Bachelor’s degree in Computer Science, Mathematics, Applied Mathematics, or a closely related field, or foreign degree equivalent. How to Apply. : Apply directly through this website by submitting your resume and cover letter below. Alternatively, you may apply by resume to Rebecca McPherson, Runway AI, Inc., 18 W 18th Street, Floor 11, New York, NY, 10011, include "Ref #100" on cover letter. Or email resume to [email protected] with subject line “reference number 100”.. 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: $250,000-$400,000