Senior Staff Machine Learning Scientist, Assets

Webflow is building a leading AI-native Digital Experience Platform, focusing on empowering teams to design, launch, and optimize for the web without barriers. They value trust, transparency, and creativity, aiming to make the web more open, creative, and equitable.

Location: Remote (United States; BC & ON, Canada)

Salary: USD 194,000 - 285,000 /yr depending on geographic zone

Responsibilities

• Lead and drive research initiatives in computer vision, multimodal understanding, and visual generation.
• Develop models, algorithms, and training methodologies for vision problems such as image understanding, video understanding, visual search, scene representation, segmentation, detection, generation, and multimodal reasoning.
• Translate research into practical model improvements to shape product direction and user experiences.
• Design, implement, train, and optimize large-scale vision and multimodal foundation models across datasets and tasks.
• Partner with scientists, ML engineers, and product teams to move research from exploration to production.
• Set technical direction for research areas, identify promising strategies, and influence long-term vision and multimodal AI strategy.
• Mentor scientists and engineers, raise research quality, and foster a scientific culture.
• Stay at the forefront of research in computer vision, multimodal learning, generative modeling, and foundation models, applying emerging techniques to real-world problems.

Requirements

• BA/BS degree or equivalent experience.
• Deep expertise in computer vision, representation learning, visual recognition, image/video generation, multimodal learning, and large-scale model training.
• Advanced degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or related field; PhD preferred.
• 8+ years of industry/research experience in computer vision or multimodal machine learning.
• Experience with vision and multimodal model architectures, including transformers, diffusion models, contrastive learning, and foundation models.
• Ability to formulate research problems, design experiments, and translate findings into model or product advances.
• Strong coding skills in Python, with experience in PyTorch and TensorFlow.
• Technical leadership experience, including mentoring and influencing research direction.
• Strong communication skills for presenting complex research to technical and cross-functional audiences.

Benefits

• Ownership in what you help build.
• Health coverage that actually covers you.
• Support for family life.
• Time off that’s actually off.
• Wellness resources.
• Retirement savings support.
• Monthly stipends.
• Annual bonus.

Additional Information

• Originally posted on Himalayas.