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Webflow

Senior Staff Machine Learning Scientist, Assets

EngineeringContractLead
Location
Worldwide
Job Type
Contract
Experience
Lead
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Job Description

ABOUT THE ROLE We're seeking a Senior Staff Machine Learning Scientist to help us push the boundaries of AI innovation at Webflow, a remote-first company built on trust, transparency, and creativity. As a key member of our team, you'll drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation. WHAT YOU'LL DO As a Senior Staff Machine Learning Scientist, you'll be responsible for leading and driving research initiatives, developing novel models and algorithms, and translating cutting-edge research into practical model improvements. You'll design, implement, train, and optimize large-scale vision and multimodal foundation models, partner with applied scientists and product teams, and set technical direction for high-impact research areas. WHAT YOU'LL NEED To thrive in this role, you'll need: - A deep theoretical and practical expertise in computer vision, with strong foundations in areas such as representation learning, visual recognition, image or video generation, multimodal learning, and large-scale model training. - An advanced degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field; a PhD is strongly preferred. - 8+ years of relevant industry and/or research experience, or equivalent impact, including a track record of driving major research initiatives in computer vision or multimodal machine learning. - Strong experience with state-of-the-art vision and multimodal model architectures, including transformers, diffusion models, contrastive learning approaches, and foundation models. - Proven ability to formulate research problems clearly, design rigorous experiments, and translate findings into meaningful model or product advances. - Strong coding and prototyping skills in Python, with the ability to write clean, scalable, and well-documented research code. - Proficiency in modern deep learning frameworks such as PyTorch and TensorFlow. - Demonstrated technical leadership, including mentoring scientists or engineers and influencing research direction across a team or organization. - Strong communication skills, with the ability to present complex research clearly to both technical and cross-functional audiences. WHY REMOTE As a remote-first company, we empower our team members to work from anywhere, allowing them to maintain a healthy work-life balance and be more productive. Our remote work model is built on trust, transparency, and collaboration, ensuring that everyone feels connected and valued. BENEFITS - Competitive cash compensation ranging from $232,000 to $290,000 (USD) in the United States, depending on the cost of labor in your location. - A comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off. - Opportunities to work on cutting-edge AI research and development, collaborate with a talented team, and contribute to the growth and success of a leading digital experience platform.